73 jobs found

Job DescriptionJob Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit to see how we empower creators to own their own destiny. Senior AI Platform Engineer At Klaviyo, we believe the future of software lies not in productivity tools for human users but in software that can run and optimize itself based on outcome or reward metrics. We've built the infrastructure and application that serve as the interface between businesses and consumers. We now have over 167,000 customers, billions of consumer profiles, and hundreds of billions of customer messages and follow-on conversion data. We have a big opportunity to build state-of-the-art AI and machine learning technologies at Klaviyo to power our products and develop AI agents that can automatically create and execute marketing or customer experiences, strategies, and campaigns for any business. As a Senior AI Platform Engineer, you'll play a key role in designing and scaling the backend systems that power our AI products and agent solutions. This backend-heavy role gives you opportunities to influence architecture, async processing, and distributed systems. You'll collaborate closely with product managers, ML engineers, and data scientists to deliver real-world impact at scale. This role is hybrid and based in Boston. How you'll make a difference: Design and build backend systems to scale AI solutions for 167K+ customers. Contribute to our agentic architecture to support performant AI agents. Build tools to tune LLM-based features, deploy agents, MCP and RAG in production, and evaluate performance using tools like Arize, OpenAI, Bedrock, LangChain, vLLM and Ray. Develop reliable, scalable data pipelines and APIs for AI systems. Foster a culture of ownership, experimentation, and customer-first thinking. Who You Are: We encourage candidates to apply even if they do not meet all the qualifications listed. AI Ops is a rapidly evolving space and we are all constantly learning! 5+ years of experience as a backend software engineer, building scalable, distributed systems. Strong experience working in production environments and launching ML/AI projects. Hands-on experience with generative AI and agentic AI applications in production. Proficient in Python (or similar). Comfortable collaborating with cross-functional technical partners. Curious, proactive, and eager to learn. Nice to Have: Experience with big data tools (e.g., Apache Spark, Ray). Familiarity with cloud infrastructure (AWS, Terraform, Kubernetes). Knowledge of ML frameworks (Huggingface, PyTorch, TensorFlow, Keras). We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$148,000-$222,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators-ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job DescriptionJob DescriptionAbout Vomela Vomela is a leading large-format graphics and visual communications company serving some of the world's most recognizable retail brands. Our clients include Lowe's, Costco, The Home Depot, L'Oréal, and hundreds of other Fortune 500 retailers. We design, produce, and install the signage, displays, and branded environments that transform customer experiences at scale - from single storefront refreshes to global rollouts spanning thousands of locations. Our Technology & Digital Innovation team is at the forefront of transforming how we and our retail clients manage, deploy, and optimize visual programs. We build enterprise-grade digital tools - from storefront profiling platforms to customer portals - that give our clients real-time visibility and control over their brand in the physical world. The Role We are seeking a rare hybrid professional - part senior product strategist, part hands-on enterprise developer - to lead the design, rapid prototyping, and delivery of enterprise applications for our retail clients. This is a high-impact, high-autonomy role for someone who thrives at the intersection of technology, product thinking, and customer-facing delivery. You will own the full product lifecycle for our suite of enterprise applications, including storefront management platforms, store profiling tools, and customer portals. You will work directly with clients to understand their operational workflows, then move rapidly from concept to working software - leveraging AI-assisted development to compress timelines and elevate output quality. What You'll DoProduct Strategy & Ownership Define product vision, roadmap, and success metrics for Vomela's suite of enterprise retail applications Conduct discovery sessions with enterprise clients to translate complex operational needs into clear product requirements Prioritize features and manage the backlog in close collaboration with clients, internal stakeholders, and engineering Develop and maintain product documentation, user stories, wireframes, and acceptance criteria Own the end-to-end customer experience from onboarding through ongoing engagement on all portal platforms Application Design & Development Architect and build enterprise-grade applications including storefront profiling tools, asset management portals, and workflow automation systems Rapidly prototype solutions using modern frameworks and AI-assisted development tools (Cursor, GitHub Copilot, Claude API, etc.) to validate ideas and accelerate delivery Design scalable, secure backend services and APIs that integrate with client ERP, PIM, and workflow systems Build and maintain customer-facing portals that provide real-time visibility into program status, asset libraries, and approval workflows Lead technical architecture decisions and ensure solutions are enterprise-ready - performant, secure, and maintainable at scale AI Integration & Innovation Embed AI capabilities into product experiences - including intelligent image analysis, automated store profiling, and predictive program recommendations Build and maintain internal AI tooling that accelerates the team's development velocity Stay at the leading edge of generative AI, agentic workflows, and LLM-based product design - bringing new capabilities into Vomela's platform Prototype and evaluate emerging AI technologies for viability in Vomela's retail context Client Engagement & Delivery Serve as a trusted technical and product advisor to enterprise clients throughout the engagement lifecycle Lead client demos, technical walkthroughs, and product reviews with stakeholders up to the VP and C-suite level Define and manage project timelines, milestones, and delivery commitments across concurrent engagements Collaborate with Vomela's operations, design, and installation teams to ensure digital solutions connect seamlessly to physical program execution Who You Are You are a senior-level professional who has mastered both sides of the product-engineering divide. You can lead a strategic discovery session with a Fortune 500 client in the morning and commit production-ready code in the afternoon. You are energized by complexity, move fast without sacrificing quality, and have a builder's instinct - you would rather prototype an answer than debate it endlessly. Required QualificationsExperience 7+ years of combined experience in product management and software development, with meaningful time spent in hands-on development roles Proven track record designing and delivering enterprise applications - customer portals, SaaS platforms, internal tooling - for large organizations Experience working directly with enterprise clients in a client-facing product or technical lead capacity Background in retail, supply chain, manufacturing, or adjacent industries strongly preferred Experience building applications that integrate with enterprise systems (ERP, PIM, DAM, CRM) Activities Own the roadmap for your product area by balancing customer, business and market needs and both qualitative and quantitative data. Understand complex problems, break them down into manageable pieces and work cross-functionally to propose simple solutions. Know our customer better than anyone else, advocate for them and facilitate a human-centered approach to problem solving and product delivery. Define success then fail fast and iterate quickly. Lead product design and engineering team members to create innovative solutions that are viable, desirable and feasible with daily incremental progress. Collaborate and communicate cross-functionally to encourage alignment and transparency particularly around problem clarity, plans, priorities, progress, goals and challenges. Provide a sense of direction, organization and accountability to your development team along with the ability to communicate on a technical level with engineers and designers. Develop the business case for new products, improvements to existing products, and business ventures Work closely with engineering, sales, marketing, and support to ensure business case and customer satisfaction goals are met Prepare operations, marketing, sales and support for launch. Be energized by a nascent and evolving team and organization - There is an appetite for change and opportunity for direct impact and growth. Become a subject matter expert in both the product and industry. Technical Skills AI/ML integration: OpenAI API, Anthropic Claude API, LangChain or similar CI/CD pipelines, Git workflows, and DevOps fundamentals Relational and document databases (PostgreSQL, MySQL, MongoDB) Authentication, authorization, and enterprise security patterns (SSO, OAuth, RBAC) REST and GraphQL API design and development Rapid prototyping with AI-assisted dev tools (Claude, Cursor, Copilot, etc.) Cloud platforms - AWS, Azure, or GCP (serverless, containers, managed services) UX/UI design sensibility; ability to work in Figma or similar tools Product & Leadership Skills Strong command of product management frameworks - roadmapping, OKRs, Agile/Scrum, user story mapping Exceptional ability to communicate complex technical concepts to non-technical stakeholders Experience scoping, estimating, and delivering projects under tight timelines Comfort operating in a fast-paced, entrepreneurial environment with high ownership and limited hand-holding Experience launching a successful, customer-facing B2B product from ideation. The ability to make decisions quickly when information is lacking. Demonstrated ability to multitask and manage priorities in order to deliver on commitments. Attention to detail and a knack for working cross-functionally to identify risk early. The details aren't the details, the details are your product. Preferred Qualifications Experience with storefront management, visual compliance, or physical retail program management platforms Familiarity with large-format print production workflows, signage programs, or retail display operations Experience building or leading small product/engineering teams Exposure to computer vision, image recognition, or geospatial data in a retail context Prior work with data visualization dashboards (D3.js, Recharts, Power BI, Tableau) Consulting or agency background with multiple concurrent client engagements

Job DescriptionJob DescriptionDescription: We are looking for a Senior AI Engineer to join our Belfast-based Data & AI Platform Team in building a next-generation data platform which will leverage aPriori's proprietary data to deliver powerful insights and AI capabilities. As a Senior AI Engineer, you will play a critical role in shaping and delivering AI-powered features within aPriori's Data Platform, delivered via APIs and our product surfaces. You will design and implement production-grade solutions that leverage both generative AI with LLMs and traditional AI/ML. Working closely with Product Management and product teams, you will integrate AI capabilities into our products, enabling AI-powered insights, automation, and new user experiences that increase aPriori's value to our customers. This role is hands-on and highly collaborative: you will design and implement LLM-driven features, leverage and extend a modern data pipeline, and contribute to building scalable AI infrastructure using cloud-based AI/ML services such as AWS Bedrock/Sagemaker, GCP Vertex AI, TensorFlow, PyTorch. Location: Belfast, NI (Hybrid) or Remote UK Responsibilities Design and build production-ready AI/ML systems, with an emphasis on Standard Model LLM-powered product and platform features. Leverage LLM tooling/APIs such as LangChain and MCP connectors to implement retrieval-augmented generation (RAG), copilot-assistants and agentic workflows. Partner with Product Management and product teams to translate requirements into AI-powered capabilities that surface directly in user-facing products. Apply MLOps and LLMOps best practices: monitoring, evaluation, prompt versioning, cost/performance optimization. Combine traditional AI/ML with modern GenAI approaches to deliver hybrid solutions where appropriate. Collaborate with Data Engineers to establish a scalable data pipeline that serves structured data shaped for LLM consumption, feature store data for traditional AI, and Trad/GenAI-enhanced insights for internal and customer-facing BI use cases. Mentor and upskill peers in on core AI/ML and LLMOps practices, raising the overall AI/ML competency of the team. Stay current with developments in GenAI, LLMOps, generative AI safety frameworks, and evaluate their potential for adoption within the platform. Requirements: Hands-on familiarity with Prompt Engineering by leveraging LLM frameworks such as LangChain. Strong programming skills in Python and familiarity with modern data/ML pipelines. Solid understanding of data engineering practices (ETL/ELT, streaming, orchestration with Airflow/Temporal, dbt, Kafka, etc.). Knowledge of LLMOps/MLOps practices: CI/CD for ML, model monitoring, drift detection, evaluation metrics, governance. Strong collaboration and communication skills: able to partner with Product, Platform, and Data teams to drive AI features from concept to production. Demonstrated ability to mentor and upskill engineers, particularly in data/ML workflows. Skilled in designing/building/deploying /operating LLM standard model-powered features in production (chatbots, copilots, RAG systems, agents) Proficient in working with traditional cloud AI/ML platforms such as Amazon Sagemaker, GCP Vertex AI, or Azure ML and frameworks such as TensorFlow, PyTorch, scikit-learn. Education and Experience 7+ years of professional software engineering experience, including 3+ years experience in traditional AI/ML and 1+ year experience in building LLM applications on standard models. Bachelor's or Master's in Computer Science, AI/ML, Data Science, or related field (or equivalent experience). aPriori Offers A team environment where your experience is valued, your voice is heard, and the work that you do makes an impact for our customers and employees. aPriori offers competitive compensation and unique benefits including pension match, private medical & dental, flexible time off, aPriori days, and more in a dynamic, growing, innovative environment! About aPriori Founded in 2003, aPriori is disrupting the industry's status quo with groundbreaking work helping manufacturers digitally transform their businesses. Through our unique, patented, intellectual property, we enable manufacturers to accelerate product design, and bring products to markets faster while providing visibility to the sustainability of their design and manufacturing choices. Our impact is profound - our customers save millions of dollars each year, accelerate time to market, all while creating a better world for future generations. Though we are an established software firm, through our continued growth, we have maintained the dynamic, collaborative nature of a start-up. With a global presence, including North America, Europe, Asia, and India, we encourage an inclusive work environment and support employees' growth through education, training, wellness, and other programs. As our greatest asset, employees' contributions are acknowledged through monthly company-wide meetings, often with promotions and awards. We promote a positive work culture, employee-friendly policies, flexible work schedules, pub nights, and an additional day off each quarter known as "aPriori Day". Interested in joining our team? We continue to build an organisation of highly talented, self-motivated individuals. Our unique environment empowers employees to bring their best selves each day, asking, "How can I do better?" and then exceeding expectations. We work together towards a common goal. We nurture and celebrate each other's successes. Employees embrace opportunities to build new skills as well as step into leadership positions where they are supported and mentored by the Senior Leadership team to grow into impactful individual contributor roles or to effectively manage teams. Innovation, adaptability, and a desire to increase your value are essential. If you possess these qualities, we want to hear from you! GDPR Notice:

Job DescriptionJob DescriptionDescription: Zylo is the enterprise leader in SaaS Management, enabling companies to discover, manage, and optimize their SaaS applications. Zylo helps companies reduce costs and minimize risk by centralizing SaaS inventory, license, and renewal management. Trusted by industry leaders, Zylo's AI-powered platform provides unmatched visibility into SaaS usage and spend. Powered by the industry's most intelligent discovery engine, Zylo continuously uncovers hidden SaaS applications, giving companies greater control over their SaaS portfolio. With more than 30 million SaaS licenses and $75 billion in SaaS spend under management, Zylo delivers the deepest insights, backed by more data than any other provider. Overview We are seeking an experienced Senior AI Engineer to lead the evolution of our enterprise SaaS platform's agentic AI capabilities. You'll drive strategic AI initiatives that solve complex client problems while working with large-scale datasets for global enterprise customers. This role combines deep technical expertise in AI agents, RAG systems, and enterprise integration with strategic thinking about how AI can transform our platform and deliver exceptional business value What you will do Drive strategic AI initiatives that directly impact client success and business growth, defining technical roadmaps and influencing product strategy to solve complex enterprise problems Architect and enhance our agentic processes for enterprise-scale deployments, building sophisticated multi-agent orchestration patterns for complex workflows Design advanced agent memory systems and context management solutions that maintain coherence across long-running conversations and extended enterprise tasks Build and implement RAG (Retrieval-Augmented Generation) systems to dramatically improve AI accuracy, including knowledge retrieval pipelines and semantic search optimization for large-scale datasets Develop enterprise-grade MCP (Model Context Protocol) services enabling seamless client agent integration with standardized APIs, security protocols, and comprehensive documentation Leverage AWS technologies (Bedrock, Lambda, etc) to architect AI solutions with optimal performance, cost efficiency, and enterprise-scale LLM integration Design and optimize schemas for storing LLM interactions, agent state, and conversation history while building monitoring systems for AI operations Lead cross-functional initiatives to integrate AI throughout our platform ecosystem, partnering with product and engineering teams to deliver measurable business value Translate complex technical AI concepts into business value, working directly with enterprise clients to understand their needs and influence strategic platform decisions Mentor engineering teams on AI best practices, emerging technologies, and enterprise AI governance while maintaining high engineering standards for production AI systems. Requirements: What you need Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. 5+ years of experience in AI/ML engineering with at least 2 years in a senior role Proven experience building and deploying AI agents or conversational AI systems in production Experience working with large-scale enterprise datasets and SaaS platforms. Expertise in design patterns for memory systems and context management solutions and optimization for AI workloads Experience with Amazon Bedrock and AWS Lambda for serverless AI deployments Experience with RAG systems, vector databases, and semantic search Understanding of Model Context Protocol (MCP) and AI agent integration patterns Proficiency in programming languages such as Python, PySpark, SQL and ML frameworks such as TensorFlow, PyTorch Knowledge of enterprise security patterns and compliance requirements Ability to articulate technical concepts to technical and non-technical stakeholders. Ability to thrive in a fast-paced, dynamic environment. Flexibility to adapt to changing priorities and requirements. Nice to have Experience in SaaS Management or Software Asset Management. Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field. Knowledge of ethical AI, bias mitigation, and AI safety best practices Experience with LangChain and LangGraph frameworks At Zylo, we're committed to Growing Stronger Together by fostering a diverse and inclusive workplace. We believe that a variety of perspectives not only fuels innovation, but also allows us to better serve our diverse customer base. If you meet the essential qualifications, we encourage you to apply and join us on this journey. Still growing in your career? Connect with our talent community-we're always looking for future Zylos who share our passion for continuous learning.

Job DescriptionJob Description Serko is a cutting-edge tech platform in global business travel & expense technology. When you join Serko, you become part of a team of passionate travellers and technologists bringing people together, using the world's leading business travel marketplace. We are proud to be an equal opportunity employer, and we embrace the richness of diversity, showing up authentically to create a positive impact. There's an exciting road ahead of us, where travel needs real, impactful change. With offices in New Zealand, Australia, North America, and China, we are thrilled to be expanding our global footprint, landing our new hub in Bengaluru, India. With a rapid growth plan in place, we're hiring people from different backgrounds, experiences, abilities, and perspectives to help us build a world-class team and product. This role can be based in West Coast USA - we would be open to candidates in other locations as well with proven experience and expertise. Requirements We are building a foundational AI division at Serko and looking for a Senior Data Scientist to help us move from concept to MVP at velocity. This is a hands-on role for someone who prefers building over maintaining. You'll be implementing models within AI-agentic environments, specifically focusing on Recommender Systems, Ranking algorithms, and Reinforcement Learning. What you'll do Architect and lead the deployment of sophisticated data science solutions that define the technical direction for Serko's AI-agentic ecosystem. Design the foundational frameworks for model integration within multi-agent environments, overseeing the implementation of high-scale Recommender Systems, Ranking algorithms, and advanced Deep Learning architectures (e.g., Heterogeneous Graph Transformers). Set the standard for technical excellence and velocity, establishing the protocols for scoping and prioritizing complex, cross-functional projects. De-risk the most ambiguous and high-stakes technical challenges, proactively adapting emerging AI technologies to ensure Serko remains a market leader. Partner with Leadership to co-create AI-first product strategies, ensuring the long-term roadmap is anchored in technical feasibility and measurable commercial outcomes. Anticipate market shifts and technological risks, identifying long-term opportunities that leverage proprietary data to create a competitive "moat." Command executive-level influence by translating complex technical trajectories into strategic business cases for the C-suite and key global partners. Sponsor and elevate the technical community, raising the collective "technical ceiling" of the organization through high-level mentorship and the establishment of best practices. What you'll bring At least 8-10+ years of proven experience building and scaling production-grade ML systems that have moved the needle on global business metrics. Deep technical mastery in machine learning and applied statistics, with a track record of implementing "bleeding-edge" techniques in a commercial environment. Authority in experimentation and systems design, with the ability to build for extreme scalability, maintainability, and reliability across global regions. Executive-level communication skills, with a demonstrated ability to influence organizational strategy and navigate complex stakeholder landscapes. Strategic product intuition, understanding how to balance long-term architectural health with the immediate needs of a fast-paced product development cycle. Proven technical leadership, with experience guiding senior engineers/scientists through complex pivots and high-pressure launches. Advanced software engineering fluency (Python and modern data stacks), with a focus on building modular, reusable, and production-hardened AI components. Visionary and resilient mindset, comfortable owning the "blank page" and driving clarity in environments of extreme ambiguity. Benefits At Serko, we aim to create a place where people can come and do their best work. This means you'll be operating in an environment with great tools and support to enable you to perform at the highest level of your abilities, producing high-quality and delivering innovative and efficient results. Our people are fully engaged, continuously improving, and encouraged to make an impact. Some of the benefits of working at Serko are: A competitive base pay Medical Benefits Discretionary incentive plan based on individual and company performance Focus on development: Access to a learning & development platform and opportunity for you to own your career pathways Flexible work policy The pay range is between $184,000 - $270,000 USD as a base salary offering annually.

Job DescriptionJob DescriptionDescription: Hello, we're Augeo - we are a global leader in enterprise-level engagement and loyalty platform technology, delivering compelling experiences and fostering meaningful connections for employees, consumers, members and channel partners across many industries and verticals. We serve hundreds of clients, including 70+ Fortune 500 companies, representing millions of end users. We are thought leaders and disruptors who think differently and creatively, built by entrepreneurs, operators and innovators. At Augeo, we're passionate about providing an inclusive workplace that values diversity and our sustainability initiatives. Everyone is welcome - our employees are comfortable bringing their authentic whole selves to work. Be you, reach your full potential. We work hard, we play hard and, most importantly, we care to our core about our teams and each other. We over-communicate around everything especially while we navigate our new hybrid world. Summary An Augeo DevOps Lead will serve as the senior technical leader responsible for the design, implementation, and continuous improvement of Augeo's CI/CD pipelines, container infrastructure, cloud environments, and DevSecOps practices across the entire engineering organization. This is a cross-platform leadership role spanning three distinct technology ecosystems: the AWE platform (TypeScript/React/Node.js/AWS), the Encore platform (.NET/C#/SQL Server), and our ColdFusion platforms (Lucee/ColdBox/MySQL) - each with unique build, deployment, and infrastructure requirements. You'll own the strategy and execution of Augeo's DevOps and DevSecOps roadmap, driving automation at every stage of the software delivery lifecycle while embedding security into pipelines and infrastructure from the ground up. You'll lead by example in leveraging AI-powered operations tools and agentic AI assistants to automate infrastructure provisioning, security scanning, incident response, and deployment workflows. You'll mentor engineers across all three platforms on DevOps best practices and establish Augeo's DevOps function as a model for AI-enabled, security-first infrastructure operations that accelerate delivery velocity while reducing risk. High-level Job Requirements Design, build, and maintain CI/CD pipelines using Jenkins and GitHub Actions across the AWE, Encore, and ColdFusion platforms, ensuring fast, reliable, and repeatable builds, tests, and deployments Define and enforce pipeline-as-code standards, managing Jenkinsfiles and GitHub Actions workflows in version control with proper branching, approval gates, and environment promotion strategies Automate build, test, and deployment processes end-to-end, minimizing manual intervention and reducing time-to-production across all platforms Manage and optimize containerized application deployments using Podman and Amazon ECS, including image builds, registry management, task definitions, service configurations, and auto-scaling policies Architect, provision, and maintain AWS cloud infrastructure (EC2, ECS, S3, RDS, Lambda, VPC, IAM, CloudFront, Route 53) using Infrastructure as Code tools (Terraform, CloudFormation, or similar) Develop and maintain PowerShell scripts and automation tooling for infrastructure provisioning, configuration management, deployment automation, and operational tasks across Windows and Linux environments Establish automated security compliance checks and vulnerability remediation workflows, ensuring continuous compliance with SOC 2 Type II, and supporting PCI-DSS and other regulatory requirements as needed Conduct regular security audits of infrastructure, pipelines, and deployment configurations, proactively identifying and remediating vulnerabilities before they reach production Leverage AI-powered operations tools (AIOps) and agentic AI assistants to automate infrastructure monitoring, anomaly detection, incident triage, capacity planning, and automated remediation workflows Design and deploy AI agents to accelerate DevOps workflows - automating security scanning, deployment validations, log analysis, runbook execution, and infrastructure drift detection Own incident response and production reliability practices, including on-call processes, post-incident reviews, and continuous improvement of system resilience Embrace Augeo's CORE values - Collaborative, Objective, Responsive and Earnest in all areas Competencies Proven track record leading DevOps strategy and implementation across multiple technology stacks and development teams Strong experience prioritizing initiatives based on business impact, security risk, and organizational capacity Champion adoption of AI-powered DevOps and DevSecOps tools across the organization, with demonstrated experience implementing AIOps practices that deliver measurable improvements in operational efficiency and security posture Desired Technical Skills 8+ years of hands-on experience in DevOps, infrastructure engineering, or site reliability engineering, with at least 3 years in a senior or lead capacity Deep expertise with Jenkins, including pipeline-as-code (Jenkinsfiles), distributed builds, plugin management, and integration with multiple SCM and deployment targets Strong proficiency with GitHub Actions, including workflow design, custom actions, matrix builds, environment secrets, and integration with AWS deployment targets Experience with Podman for container image builds, management, and deployment, including rootless containers, pod management, and Podman Compose for local development environments Deep experience with Amazon ECS (both Fargate and EC2 launch types), including task definitions, service configurations, load balancing, auto-scaling, and integration with ECR, CloudWatch, and IAM Proficiency with additional scripting languages (Python, Bash) for automation and tooling development Experience with Infrastructure as Code tools (Terraform, AWS CloudFormation, or similar) for managing cloud infrastructure in a version-controlled, repeatable manner Hands-on experience implementing DevSecOps practices including SAST (SonarQube, Checkmarx, or similar), DAST (OWASP ZAP, Burp Suite, or similar), SCA (Snyk, Dependabot, or similar), and container image scanning (Trivy, Grype, or similar) Experience with secrets management solutions (AWS Secrets Manager, HashiCorp Vault, or similar) and certificate management Proficiency with observability and monitoring tools (CloudWatch, Prometheus, Grafana, Datadog, ELK stack, New Relic, or similar) Familiarity with the deployment and infrastructure needs of .NET/C# applications, Node.js/TypeScript applications, and ColdFusion/Lucee (CommandBox) applications Familiarity with AI agent development for automated incident response, runbook execution, and infrastructure self-healing workflows Experience with networking fundamentals (VPC design, security groups, NACLs, DNS, CDN, load balancing) in AWS Education and Experience Four-year college degree from a regionally accredited college or university in Computer Science, Information Technology, Cybersecurity, or a related field preferred (or equivalent relevant experience) 8+ years of experience in DevOps, infrastructure engineering, or site reliability engineering 3+ years in a senior or lead capacity, providing technical direction and mentorship to other engineers Relevant certifications are a plus (AWS Solutions Architect, AWS DevOps Engineer, Certified Kubernetes Administrator, CompTIA Security+, CISSP, or similar) Work Environment This job operates in a professional office environment. This role routinely uses standard office equipment such as laptop computers and smartphones. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is occasionally required to stand; walk; sit; use hands to finger, handle, or feel objects, tools, or controls; reach with hands and arms; climb stairs; balance; stoop, kneel, crouch or crawl; talk or hear; and taste or smell. The employee must occasionally lift or move up to 20 pounds. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception and the ability to adjust focus. Travel Travel is primarily local during the business day, although occasional out-of-area and overnight travel may be expected for team gatherings, client engagements, or executive off-sites. Benefits of joining team Augeo We offer Medical, Dental and Vision coverage with additional perks through third party vendors offering more virtual and in person care at your fingertips (must be in select locations) We offer paid Long-Term disability and Life Insurance HSA/FSA plans We offer varying voluntary benefits such as critical, hospital, pet coverage and much more Employee benefit education, campaigns and wellness opportunities 401k retirement matching and financial planning resources Education reimbursement Several EAP resources 13 paid holidays and PTO time Rewards, incentives and gamification for birthdays, Work-aversery's, professional and personal milestones, company involvement and kudos Employee referral bonuses Employee group opportunities Fun . click apply for full job details

Job DescriptionJob DescriptionTeam Overview: At Fluency, we come together under two shared passions that drive our culture: the scaling of digital ad operations, and fostering a workplace environment rooted in open communication, inclusivity, and a growth-oriented mindset. These passions not only set us apart in the industry, but also fuel our collective drive to reshape the industry and reinvent ourselves along the way. We're not just revolutionizing the digital advertising horizon, we're shaping an organization where every member feels a sense of pride and is inspired to do their best work. Product Overview: The Fluency platform is an industry leading agentic advertising platform that enables our customers to adapt to the rapid pace of industry change while delivering comprehensive digital advertising campaigns at a virtually limitless scale. Fluency empowers customers to launch, manage, and optimize custom, local digital advertising campaigns across all major channels with groundbreaking efficiency and control. Advertising strategies shouldn't be limited by technical constraints, resource limitations, and tedious, time-consuming tasks. Fluency has hundreds of thousands of active campaigns and over $3B of spending under management. Job Summary: The Senior Product Manager, Enterprise Integrations is a natural collaborator with a deep experience managing complex cross-functional software development projects, coordinating business requirements across interdependent engineering teams, driving complex projects to completion on time and under budget, as well as possessing strong business acumen. In this role, you will take the lead in shaping, enhancing, and driving the development of Fluency's platform in support of some of our largest customers as they onboard and rebuild their businesses on top of our platform. You'll work closely with cross-functional teams including Engineering, Sales, Customer Success and clients to identify opportunities, define product strategies, and deliver solutions that provide meaningful value to our clients. A successful Product Manager is the voice of the customer, translating their needs into innovative features and enhancements that solve real business problems and drive growth. Your Role: Work with prospects and new clients to learn about their existing advertising ecosystem to make recommendations for modernization and Fluency platform engagement Understand the AdTech ecosystem and identify opportunities to develop our product based on market and customer trends Communicate requirements and translate customer intent into actionable product development during new client implementations via technical work plans Work with engineering to develop and refine the technical work plan Manage prioritization and project timelines Communicate with internal and external stakeholders on status, blockers, and opportunities within key projects. Additional Responsibilities include (but not limited to): Collaborate with the Product Leadership to define and execute the vision, strategy, and roadmap for ongoing product evolution Conduct market research to evaluate and prioritize opportunities based on business goals such as lowering customer acquisition costs, scaling revenue growth, or accelerating revenue recognition Drive and measure feature-level user adoption to support iterative product improvement Lead the effective adoption of new products and features through established rollout plans and internal/external marketing materials Serve as an internal leader in identifying, articulating, and solving complex business problems related to platforms, systems, and infrastructure Identify potential issues or blockers that could delay launches or impact project success Partner directly with technical leaders across the organization to ensure alignment with the product vision and to solve challenges collaboratively Regularly communicate progress, learnings, and strategic updates to senior executives Build and maintain strong cross-functional relationships, with a focus on quality, reliability, and scalable solutions. What We Look For: 10+ years of product management experience, with a strong focus on platforms and systems 5+ years of experience working with digital advertising products in complex data environments Proven track record of building and launching products at scale Strong strategic thinking with the ability to articulate product vision and define roadmaps Familiarity with software development processes, Agile methodologies, and tools such as ClickUp, Figma, and Amplitude Ability to understand technical requirements and collaborate effectively with engineering teams Demonstrated success in translating customer feedback into high-impact features Experience with customer journey mapping, user personas, and empathy-building techniques (preferred) Strong data analysis skills with a metrics-driven mindset Excellent verbal and written communication skills, with the ability to influence and build relationships across teams and leadership levels Comfortable navigating ambiguity, solving complex problems, and operating in a fast-paced environment with a bias for action Ability to understand and discuss technical concepts, and to prioritize and evaluate opportunities in collaboration with internal and external stakeholders Solid understanding of data-driven product development methodologies and current software development strategies. Fluency is headquartered in Burlington, Vermont. This is a full-time, remote position that requires legal authorization to work in the U.S. If you're local to the area, you're welcome to work from our office. At Fluency, we're proud to be an equal opportunity employer. We're committed to building a diverse, inclusive, and supportive workplace where everyone can thrive. We welcome applicants of all backgrounds and identities and do not tolerate discrimination or harassment of any kind. Employment decisions at Fluency are made based on business needs, job requirements, and individual qualifications-without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, disability, genetic information, veteran status, or any other status protected by federal, state, or local laws.

Senior Java Engineer Career Opportunity We are currently seeking a dynamic individual with high energy and drive to join our Workforce Management (WFM) software development team as a Senior Software Engineer. This engineer will primarily focus on server-side component design, development, testing, and implementation. Experience with client-side development is a plus. This engineer will work in an agile development environment and follow agile processes and practices. As part of our AI-forward engineering culture, this role also takes ownership of the AI development environment including coding agents, tools, workflows, and infrastructure to maximize engineering velocity, quality, and consistency. Senior Java Engineer Role and Responsibilities Design and develop quality, proficient, and well-documented technical solutions that satisfy business requirements and meet corporate architectural standards. Own and continuously improve the AI development environment including coding agents, tools, workflows, and infrastructure to maximize engineering velocity, quality, and consistency. Design, build, and optimize coding agents, prompts, and workflows. Define and maintain instructions, skills, plugins, and tool integrations. Connect tools into a cohesive agentic development pipeline. Enable Spec-Driven Development using AI (from idea to spec to implementation to validation). Develop solid unit, integration, and automation tests according to organizational standards. Assist in troubleshooting and maintenance of existing software applications; identify and implement additional improvements when warranted; work with external stakeholders as needed. Develop technical models/designs for assigned components. Contribute to and drive technological and architectural decisions. Participate in reviewing design and code for other team members. Gets team to a high-performing level by recognizing areas of strength and improvement and employing appropriate coaching and development techniques. Works with Scrum Team, as well as internal and external stakeholders, to influence and drive decision-making and support organizational project or product teams. Contributes to the advancement and improvement of Agile practices within the organization. Senior Java Engineer Experience and Requirements Minimum 8 years of Java web application development experience. Deep interest and hands-on experience with AI coding tools and LLM-based systems. Experience working with agents, prompts, MCP/tools, or similar ecosystems. Comfortable working at low-level detail including tokens, context windows, latency, and tool orchestration. Expertise in server-side development using Hibernate, Spring, Web Services (REST) in Java including server-side testing using JUnit, Mockito/EasyMock. Experience in web application development using Angular, HTML5, CSS, jQuery, JavaScript, Spring MVC, and in Unit/E2E testing with Cucumber, Selenium, Playwright is a huge plus. Experience with AI-assisted development tools (GitHub Copilot, ChatGPT, Claude, or similar) and ability to effectively integrate generative AI into the software development lifecycle for code generation, debugging, and optimization. Good to have experience in "Vibe Coding" methodologies including rapid prototyping, iterative development, and creative problem-solving approaches that leverage AI assistance to accelerate development velocity. Proven track record of driving technical innovation within development teams, including evaluation and adoption of emerging technologies, process improvements, and mentoring others on cutting-edge development practices. Experience with AWS is a plus. Demonstrated experience with multi-tier web application development. Hands-on experience with Continuous Integration and Test-Driven Development. Experience with JBoss or Tomcat. Prior experience with MAVEN and Jenkins is a plus. Good knowledge of Scrum techniques and artifacts (such as definition of done, user stories, automated testing, backlog refinement). Undergraduate degree in Computer Science, Engineering, or a related subject. Senior Java Engineer Desired Personal Attributes Excellent communication and interpersonal skills. Self-motivated and flexible. Demonstrates resilience and adaptability when working within organizational constraints, legacy systems, or established processes that cannot be immediately changed. Shows ability to find creative solutions and deliver value within existing limitations while building consensus for future improvements. Superior analytical and problem-solving abilities. Maintains a positive attitude and constructive approach when faced with bureaucratic processes, technical debt, or resistance to change. Leads, collaborates, and coordinates with others to ensure significant results. Detail-oriented with excellent organizational skills.

Job DescriptionJob Description This is a U.S. based position. All of the programs we support require U.S. citizenship to be eligible for employment. All work must be conducted within the continental U.S. Who we are: Raft () is a customer-obsessed non-traditional defense tech company dedicated to empowering U.S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in autonomous data fusion and Agentic AI, with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development. With headquarters in McLean, VA, our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans. About the role: Raft is building mission-critical data platforms for the Department of War that process billions of events per day from hundreds of sensors and operational sources, delivering intelligence to operators who use it to make time-sensitive decisions. Our platform runs across multiple classification levels and deployment environments. As a Senior DevOps Engineer at Raft, you won't be operating in a pure infrastructure lane. You will be expected to understand the software you're deploying, contribute to it when needed, and engage with the data pipelines flowing through the systems you manage. This is a role for someone who thinks end-to-end, from data ingest and pipeline performance through to Kubernetes-based deployment, observability, and secure operations in defense environments. You will work across cloud and on-premises environments, partner closely with software and data engineers, and help Raft maintain the operational rigor and platform reliability that our most demanding customers depend on. What You'll Do Design, implement, and maintain secure Kubernetes-based infrastructure supporting data platform workloads across cloud and on-premises environments Build, manage, and improve CI/CD pipelines using GitLab and GitOps-based delivery patterns, enabling reliable, repeatable deployments across multiple classification levels Develop and maintain Infrastructure as Code (IaC) using tools such as Terraform and Ansible to provision, configure, and lifecycle-manage platform infrastructure Collaborate directly with software engineers to understand service architectures, dependencies, and runtime behavior, and contribute code-level changes where needed to improve deployability, reliability, or observability Support and optimize data streaming and processing pipelines built on technologies such as Kafka, Kafka Streams, Flink, and Pinot, diagnosing bottlenecks, tuning configurations, and ensuring data integrity across the platform Implement and manage platform observability using monitoring (Prometheus, Grafana), logging (Fluentbit, Loki, Kibana), and alerting tooling to maintain operational awareness in production environments Apply and enforce DevSecOps practices including container hardening, vulnerability scanning, software supply chain security, and compliance-driven deployment patterns in regulated government environments Manage and debug complex Helm chart deployments, service mesh configurations (Istio), and Kubernetes networking across multi-cluster and multi-environment topologies Support operations across multiple deployment targets, cloud-hosted (AWS, Azure), on-premises data centers, and edge/tactical environments, adapting platform patterns to the constraints of each Write clean, maintainable automation and tooling in Java or Go to accelerate platform operations, reduce toil, and improve developer experience across engineering teams Engage directly with customers at the most operationally demanding locations in the Department of War What we are looking for: 5+ years of relevant hands-on experience in DevOps or platform engineering roles. 5+ years of production experience with Docker and Kubernetes, including provisioning, operating, and troubleshooting clusters in real-world environments Strong experience building and maintaining CI/CD pipelines, with hands-on proficiency in GitLab CI, GitOps workflows (Flux, ArgoCD), and modern software delivery practices Experience supporting data-intensive platforms using streaming technologies such as Kafka, or Flink, including configuration, tuning, and operational support Solid understanding of data engineering fundamentals, including ETL/ELT pipeline design, data storage patterns, data governance concepts, and integration with downstream consumers Proficiency with Infrastructure as Code tooling, particularly Terraform; experience with Ansible or similar configuration management tools Strong Helm proficiency, including authoring and maintaining charts for complex multi-service deployments Hands-on experience with platform observability tooling: Prometheus, Grafana, Fluentbit, Loki or Elasticsearch/Kibana Demonstrable software development skills in Java and/or Go, comfortable reading, modifying, and contributing to application codebases, not just deploying them Experience with cloud infrastructure on AWS and/or Azure, including networking, IAM, storage, and managed Kubernetes services Strong systems thinking, troubleshooting discipline, and the ability to work independently in a fast-moving environment with competing priorities Experience applying secure and compliant deployment practices in regulated or government environments Active Secret clearance required; must be eligible for and willing to obtain a Top Secret/SCI clearance Ability to obtain Security+ certification within the first 90 days of employment Ability to travel up to 25% Highly preferred: Experience with service mesh technologies, particularly Istio, including traffic management, mTLS, and observability integration Familiarity with Kubernetes-based ML/AI platforms such as Kubeflow, KServe, or Ray, and experience supporting GPU-enabled workloads Experience with software supply chain security tools including container image scanning, SBOM generation, and runtime vulnerability management Background supporting deployments across multiple classification levels or air-gapped / disconnected environments Experience with package and dependency management across polyglot environments (Maven, Gradle, NPM, Yarn, pip) Familiarity with compliance frameworks relevant to DoW software deployment, including RMF, STIGs, and IL4/IL5/IL6 requirements Contributions to or ownership of internal developer platforms, golden path tooling, or shared infrastructure services Experience with distributed tracing and APM tooling (e.g., OpenTelemetry, Jaeger, Tempo) Existing TS/SCI clearance strongly preferred What Success Looks Like Platform deployments are reliable, repeatable, and secure across every environment Raft operates in, from commercial cloud to classified on-premises Engineering teams move faster because CI/CD workflows, infrastructure tooling, and deployment patterns are solid, well-documented, and easy to use Data pipelines running through Raft's platform are stable, observable, and performant, with clear ownership of issues when they arise You've earned the trust of software engineers by understanding what they've built and engaging meaningfully in conversations about architecture, runtime behavior, and operational trade-offs Compliance and security posture across deployment environments is continuously maintained, not bolt-on Clearance Requirements: Minimum active Secret clearance with ability to obtain and maintain an active TS SCI security clearance Salary Range: $150,000.00 - $200,000.00 Work Type: Hybrid with up to 25% travel Active Secret clearance required to start; TS/SCI eligibility required What we will offer you: Highly competitive salary Fully covered healthcare, dental, and vision coverage 401(k) and company match Take as you need PTO + 11 paid holidays Education & training benefits Generous Referral Bonuses And More! Our Vision Statement: We bridge the gap between humans and data through radical transparency and our obsession with the mission. Our Customer Obsession: We will approach every deliverable like it's a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies. How do we get there? Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking, and collaboration is a norm. Raft's core philosophy is Ubuntu: I Am, Because We are. We support our "nadi" by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective . click apply for full job details

Job DescriptionJob Description About the Team: STR's Analytics Division develops novel technologies to solve challenging national security problems through advanced analytics. Our team consists of passionate and motivated individuals with degrees in engineering, computer science, mathematics, physics, and data science. We use our expertise and creativity to take innovative ideas from conception to mature implementation in order to improve mission success of our customers. The Collaborative Autonomy and Control (CAC) Group in the Analytics Division works to build software systems that solve critical problems in the areas of uncrewed system autonomy, multi-agent collaboration, resource management, and control. By leveraging expertise in machine learning, algorithms, model-predictive control, and software development, we build tools that support tactical mission planning and execution, autonomous reasoning, and more. The Role: As a Senior Software Engineer, you will work as part of a tightly knit team to design, develop, implement, integrate, test, and demonstrate advanced algorithms and software systems for autonomous platforms. You will provide technical leadership and mentoring on programs working throughout the software and system development lifecycle, from early prototypes to integrated systems. Your work will develop a diverse set of software tools and applications for mission planning systems, automated control processes, unmanned platforms, DevSecOps, and CI/CD pipelines. This position is based in Woburn, MA, Arlington, VA, or Dayton, OH, and will take advantage of STR's flexible, hybrid environment - when the work does not require use of STR's facilities, you are welcome to work remotely. Who You Are: Ability to obtain a security clearance for which U.S. Citizenship is needed by the U.S government BS in Computer Science or related technical field with minimum of 5+ years' relevant experience (or equivalent experience) 3+ years experience with C++ or Java Proven understanding of data structures, algorithms, concurrency, and code optimization Proven ability to lead and manage moderate size engineering teams (2-4 engineers) through complete Agile development lifecycle including task definition, delegation, and maintenance Demonstrated success driving industry best practices in areas such as code review, unit testing, test coverage, static analysis, etc., to ensure mature, high quality software products Experience in leading system/software architecture design Comfortable working both with internal leadership and external customers in the development and execution of software product plans Experience utilizing the following: Object-Oriented Programming principles Agile software lifecycle methodologies and tools, such as JIRA and Sonarqube Test-driven development methodologies A demonstrated ability to adopt new languages, libraries, and technologies Proven ability to develop, implement, integrate, and test autonomy algorithms and software Even Better: Active security clearance MS or PhD in Computer Science or related technical field Experience with the following: Collection Orchestration Satellite Constellation Management Coordinating Electronic Warfare resources Reinforcement learning Agentic AI TCPED Management for Tactical ISR Experience programming for embedded and physical devices Multi-agent coordination of UxVs MAVLINK or other C2 protocols Unreal Engine modeling ROS TAK DevSecOps and CI/CD tool chains Integration of complex software systems Constraint satisfaction algorithms Knowledge representation/ontologies Python Pay Information Full-Time Salary Range: $134,000 - $184,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.

Job DescriptionJob DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy - a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it. Who you are Metropolis is seeking a Senior AI Engineer to join our Applied AI organization, a team purpose-built to rebuild how the company operates from an AI-first perspective. You will be the builder at the heart of this transformation, designing and shipping AI-powered tools and automation pipelines that replace manual, repetitive work across finance, operations, revenue, and beyond. This is a hands-on engineering role with enormous scope: you will own systems end-to-end, from the LLM prompt layer through to production deployment, working side-by-side with Process Analysts who understand the business deeply. If you want to see your work directly change how a company functions - not someday, but now - this is the role. What you'll do Design, build, and ship AI-powered automation tools and internal applications that transform manual business processes into AI-first workflows Architect and maintain LLM-based systems, including prompt pipelines, agentic workflows, tool-calling integrations, and retrieval-augmented generation (RAG) setups Build and maintain data pipelines that connect source systems (Snowflake, internal APIs, SaaS tools) to AI workflows, ensuring data quality and reliability Partner with Process Analysts to understand how business functions work today, translate requirements into engineering specifications, and iterate based on real user feedback Own production reliability for the systems you build - monitoring, alerting, and iterating on AI outputs to maintain quality over time Evaluate and integrate emerging AI tooling (models, frameworks, APIs) to ensure Metropolis is always leveraging the best available capabilities Contribute to internal standards for AI development: prompt management, evaluation frameworks, model selection, and system architecture What we're looking for 6+ years of software engineering experience, with 2+ years of hands-on experience designing, building, and deploying LLM-based or AI-powered applications in production Strong Python skills - you write clean, maintainable code and are comfortable building APIs, data pipelines, and backend services Practical experience with LLM APIs (OpenAI, Anthropic, or similar), prompt engineering, and agentic patterns (function calling, multi-step reasoning, tool use) Familiarity with data engineering fundamentals: SQL, data transformation, working with cloud data warehouses (Snowflake preferred) Experience with workflow orchestration tools (e.g., Airflow, Prefect, or similar) and cloud infrastructure (AWS preferred) A strong instinct for product quality - you care about whether the tools you build are actually useful, not just technically functional Ability to work autonomously in a fast-moving environment, manage competing priorities, and ship iteratively rather than waiting for perfection While not required, these are a plus: Experience with vector databases, embeddings, or semantic search is a plus Our Stack Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited) Datastores: MySQL, PostgreSQL, Snowflake Cloud: AWS Version control: Git & GitHub AI Tooling: Copilot on GitHub and Claude Code Observability: Datadog 4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $170,000.00 USD to $200,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job DescriptionJob Description This is a U.S. based position. All of the programs we support require U.S. citizenship to be eligible for employment. All work must be conducted within the continental U.S. Who we are: Raft () is a customer-obsessed non-traditional defense tech company dedicated to empowering U.S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in autonomous data fusion and Agentic AI, with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development. With headquarters in McLean, VA, our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans. About the role: As a Principal Software Developer, you will serve as a senior technical authority responsible for defining, guiding, and validating software solutions for large-scale, mission-critical systems. You will lead technical planning, architecture decisions, and system integration efforts across programs while influencing engineering best practices and long-term technical direction.This role demands deep technical expertise, strategic thinking, and the ability to lead teams This role requires deep hands-on expertise and the ability to collaborate closely with systems engineers, testers, and stakeholders to deliver high-quality software in structured or regulated environments. Key Responsibilities: Lead technical planning and execution for complex software systems and subsystems Define and validate high-level and detailed software requirements across programs Architect and guide software solutions aligned with mission, operational, and enterprise needs Oversee and direct test planning and execution, including: Use case development Test strategy, procedures, and test data System-level validation and verification Lead software systems integration across platforms and environments Provide senior-level technical oversight across the full software lifecycle, including: Concept design Development and integration Installation and deployment Operations, sustainment, and modernization Retirement and disposal Conduct and guide technical trade studies and architectural decision analysis Resolve the most complex software integration and performance challenges Mentor senior and mid-level developers and guide technical teams Ensure software solutions balance performance, security, schedule, and cost constraints Serve as a trusted technical advisor to program leadership and stakeholders What we are looking for: Bachelor's degree with 18+ years of related experience, or Master's degree with 16+ years, or PhD with 15+ years Expert-level experience in software architecture, development, systems integration and AWS tools Proven ability to lead complex technical efforts and guide engineering teams Extensive experience in requirements definition, system design, and validation Strong background supporting large-scale or mission-critical software systems Ability to influence technical direction across programs or organizations Highly preferred: Technical leadership experience on DoD, federal, or classified programs Deep familiarity with systems engineering methodologies and lifecycle processes Experience defining engineering standards, best practices, or reference architectures Formal mentorship or team leadership responsibilities Experience supporting highly regulated or high-assurance environments Clearance Requirements: Active Top Secret with ability to obtain and maintain SCI Work Type: Onsite in Colorado Springs, CO May require up to 15% travel Salary Range: $165,000 - $210,000 The determination of compensation is predicated upon a candidate's comprehensive experience, demonstrated skill, and proven abilities What we will offer you: Highly competitive salary Fully covered healthcare, dental, and vision coverage 401(k) and company match Take as you need PTO + 11 paid holidays Education & training benefits Generous Referral Bonuses And More! Our Vision Statement: We bridge the gap between humans and data through radical transparency and our obsession with the mission. Our Customer Obsession: We will approach every deliverable like it's a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies. How do we get there? Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking, and collaboration is a norm. Raft's core philosophy is Ubuntu: I Am, Because We are. We support our "nadi" by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration. We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Job DescriptionJob DescriptionJob Description Senior Software Engineer - Agentic AI Platform Columbia, MD Full Time TS/SCI with Polygraph Required Position: Software Engineer (SWE3) Location: Columbia, MD (on-site) Category: Software Engineering / AI Systems / Agentic Platforms Clearance Requirement: Active TS/SCI with Polygraph Experience Requirement: 12+ years with a Bachelor's degree, OR 10+ years with a Master's degree, OR 4 additional years of relevant experience in lieu of a degree Description We are seeking a Senior Software Engineer to build and advance a cutting-edge agentic platform designed to power intelligent, autonomous workflows. In this role, you will integrate diverse data sources and external APIs with MCP tools to enable seamless, scalable system interoperability. You will collaborate closely with security analysts to translate operational challenges into effective technical solutions. The position involves hands-on development with agentic primitives such as skills, prompts, and subagents to create adaptive, context-aware capabilities. This is an opportunity to work at the forefront of AI-driven systems, shaping how agents operate, learn, and deliver impact in complex environments. Note: Four (4) openings are available for this role. Responsibilities Develop agentic integrations in Python that leverage multiple AI models, APIs, and data sources in production. Build tools and agentic workflows within modern frameworks such as PydanticAI, LangGraph, and DeepAgents. Work directly with key stakeholders and security analysts to understand operational workflows and identify high-impact automation opportunities. Design and implement real-time analytics pipelines in Python using Apache Kafka for stream processing and Elasticsearch for indexing and querying. Maintain and troubleshoot a production-grade agentic platform. Skills Requirements Software development experience with strong Python proficiency. Hands-on experience building and maintaining production applications serving hundreds to thousands of users. Understanding of AI development concepts, including prompt engineering, context management, structured outputs, and tool/function calling. Experience developing resilient, scalable stream processing applications using modern messaging and event-streaming platforms. Experience leveraging AI coding assistants for code generation, refactoring, debugging, and automation. Nice to Haves Experience with agentic workflows and multi-agent orchestration. Background in cybersecurity or understanding of security operations workflows. Managing deployments in AWS cloud with Kubernetes. GitLab CI/CD automation. Experience with retrieval systems (RAG, vector databases, semantic search). Analyzing cybersecurity-related datasets (network traffic, OS events). Compensation Employment Policy Salary is determined by multiple factors, including location, education, experience, skills, and organizational requirements. The projected compensation range for this position is $200,000 - $250,000 (annualized USD). Benefits Overview At Intezra, Inc., we offer a comprehensive benefits package designed to support long-term career growth and work-life balance: Three CareFirst medical plans available; Intezra pays up to 100% of healthcare premiums and up to 100% of deductibles (based on plan selection) for employees and dependents Intezra pays 100% for CareFirst Dental and Vision plans for employees and dependents 401(k): 15% company contribution (no match required) PTO: 160 hours, increasing with seniority 12 Floating Holidays 4 Code Red Days EEO Statement Intezra, Inc. provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any kind without regard to race, color, religion, age, sex, national origin, disability status, genetics, pregnancy, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. About Us Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years. , About Intezra, Inc. Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years.

Job DescriptionJob DescriptionSalary: Job Title: Principal Software Engineer Location: Miami, Florida or Ontario, Canada Function: AI Engineering for Clinical Trial Management Systems About Sitero Sitero is a next-generation clinical trial solutions partner, supporting more than 200 Pharmaceutical, Biotech, and Institutional Research Organizations globally. We leverage advanced technology, data, and AI to drive safety, compliance, quality, and operational efficiencyenabling our customers to bring life-changing therapies to market faster and more reliably. Our innovation is rooted in a clear mission: to advance clinical research through an AI-first, technology-enabled delivery model. As we scale, AI is no longer a featureit is foundational to how we build, operate, and deliver across the enterprise. Why Sitero? At Sitero, you will operate at the forefront of AI-driven transformation in clinical research. This role offers the opportunity to architect systems that directly impact human health while shaping how AI is embedded across products, workflows, and engineering practices. You will join a high-growth, innovation-focused environment where you can influence enterprise-wide strategy, work across disciplines, and help define what AI-native looks like in a regulated industry. About the Role We are seeking a Principal Software Engineer to define and lead the next generation of AI-powered Clinical Trial Management Systems. This is a highly strategic, hands-on leadership role responsible for architecting scalable, AI-native systems across our technology ecosystem. You will operate at the intersection of software architecture, machine learning infrastructure, and applied AI, driving both product innovation and internal engineering transformation. You will act as a technical authority and multiplier, shaping how AI is embedded into our platforms, how our teams build software, and how we scale intelligent systems across a global organization. Key Responsibilities Product modernization Investigate, identify, and triage architectural improvements to modernize a core top 10 pharma product to be AI-enabled Build, manage, and lead a team of developers to ship an industry leading CTMS product Work cross-functionally with service delivery and commercial teams to help navigate and understand and translate technical designs to customer value Work directly with product management to deliver customer-delighting features AI Strategy & Architecture Leadership Define and drive the enterprise AI architecture roadmap, aligning AI capabilities with product and business strategy Architect AI-native systems that integrate LLMs, multi-modal models, and intelligent agents into core clinical platforms Establish scalable patterns for model deployment, orchestration, evaluation, and governance in regulated environments AI-Native Engineering Transformation Champion and institutionalize AI-augmented software development practices across engineering teams Drive adoption of LLM-powered workflows for code generation, testing, refactoring, documentation, and system design Establish best practices for human-in-the-loop AI development and engineering productivity acceleration Product Innovation & Intelligent Systems Partner with Product, Clinical, and QA teams to embed AI-driven capabilities into Siteros platforms (e.g., automation, decision support, predictive insights) Design and implement agentic systems that enhance workflows across clinical operations, safety, regulatory, and data management Technical Leadership & Influence Serve as a senior technical leader and advisor across the organization, influencing architecture decisions and long-term strategy Mentor and elevate engineering talent, setting a high bar for technical excellence and AI fluency Drive alignment across cross-functional teams in a globally distributed environment Performance, Compliance & Scalability Ensure AI systems meet GxP, regulatory, and data governance standards required in clinical research Balance innovation with robustness, explainability, and auditability Continuously optimize system performance, cost efficiency, and scalability Minimum Qualifications Bachelors degree in Computer Science, Engineering, or related field (or equivalent practical experience) 10+ years of experience in software engineering, with deep expertise in distributed systems and full-stack architecture 5+ years in senior technical leadership roles, driving architecture and influencing cross-functional teams 7+ years designing and scaling machine learning systems and infrastructure in production environments Proven experience with modern AI techniques, including LLMs, multi-modal models, and agent-based systems Deep hands-on experience integrating AI into real-world applications and production systems Demonstrated expertise in AI-augmented development workflows and engineering productivity tooling Experience working with large-scale data systems, high-performance computing, or cloud-native architectures Preferred Qualifications Masters or PhD in Computer Science, Engineering, AI, or related field Experience building AI systems in regulated environments (e.g., healthcare, life sciences, finance) Deep fluency in SQL and data engineering best practices Proven ability to lead enterprise-wide AI transformation initiatives Experience operating in complex, global, cross-functional organizations What Success Looks Like AI is embedded as a core capability across Siteros platforms, not a bolt-on feature Engineering teams operate with AI-native workflows, significantly increasing speed and quality Scalable, compliant AI systems are deployed across clinical domains, driving measurable impact

Job DescriptionJob DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy - a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it. Who you are Metropolis is seeking a Senior AI Engineer to join our Applied AI organization, a team purpose-built to rebuild how the company operates from an AI-first perspective. You will be the builder at the heart of this transformation, designing and shipping AI-powered tools and automation pipelines that replace manual, repetitive work across finance, operations, revenue, and beyond. This is a hands-on engineering role with enormous scope: you will own systems end-to-end, from the LLM prompt layer through to production deployment, working side-by-side with Process Analysts who understand the business deeply. If you want to see your work directly change how a company functions - not someday, but now - this is the role. What you'll do Design, build, and ship AI-powered automation tools and internal applications that transform manual business processes into AI-first workflows Architect and maintain LLM-based systems, including prompt pipelines, agentic workflows, tool-calling integrations, and retrieval-augmented generation (RAG) setups Build and maintain data pipelines that connect source systems (Snowflake, internal APIs, SaaS tools) to AI workflows, ensuring data quality and reliability Partner with Process Analysts to understand how business functions work today, translate requirements into engineering specifications, and iterate based on real user feedback Own production reliability for the systems you build - monitoring, alerting, and iterating on AI outputs to maintain quality over time Evaluate and integrate emerging AI tooling (models, frameworks, APIs) to ensure Metropolis is always leveraging the best available capabilities Contribute to internal standards for AI development: prompt management, evaluation frameworks, model selection, and system architecture What we're looking for 6+ years of software engineering experience, with 2+ years of hands-on experience designing, building, and deploying LLM-based or AI-powered applications in production Strong Python skills - you write clean, maintainable code and are comfortable building APIs, data pipelines, and backend services Practical experience with LLM APIs (OpenAI, Anthropic, or similar), prompt engineering, and agentic patterns (function calling, multi-step reasoning, tool use) Familiarity with data engineering fundamentals: SQL, data transformation, working with cloud data warehouses (Snowflake preferred) Experience with workflow orchestration tools (e.g., Airflow, Prefect, or similar) and cloud infrastructure (AWS preferred) A strong instinct for product quality - you care about whether the tools you build are actually useful, not just technically functional Ability to work autonomously in a fast-moving environment, manage competing priorities, and ship iteratively rather than waiting for perfection While not required, these are a plus: Experience with vector databases, embeddings, or semantic search is a plus Our Stack Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited) Datastores: MySQL, PostgreSQL, Snowflake Cloud: AWS Version control: Git & GitHub AI Tooling: Copilot on GitHub and Claude Code Observability: Datadog 4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $170,000.00 USD to $200,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job DescriptionJob Description Job Title:Fullstack Developer Job Type:Full-time Location:Remote (Must overlap PST timezone at least 6-8 hours) The Role Youll contribute to designing, building, and shipping production systems end-to-end. This is a hands-on role where youll work across the stack from UI to infrastructure and grow into owning features as you gain context and confidence. Youll primarily work on building and improving Zara, our AI Recruiter agent, helping shape how it delivers intelligent workflows and scales in production. Youll collaborate closely with a small, senior, remote team to turn rough ideas into reliable software, learning to move fast and make thoughtful tradeoffs under real-world constraints. Responsibilities Contribute to building scalable and high-performance backend APIs using Python and FastAPI. Develop and enhance frontend interfaces using React, Next.js, and TypeScript. Support the integration of LLMs and AI agents into the platform (e.g., feedback systems and AI-assisted workflows). Help implement concurrency patterns and backend optimizations to improve system performance. Write and optimize SQL queries and contribute to data modeling for reliable data operations. Improve platform scalability, performance, and reliability across frontend and backend systems. Write clean, modular, and maintainable code following strong engineering practices. Debug, troubleshoot, and resolve issues to ensure system stability and long-term maintainability. Collaborate with a small, senior remote team to ship features quickly while maintaining high standards. What We Look For Experience building frontend applications with React (Next.js and TypeScript are a plus). Experience building backend services with Python (FastAPI or similar frameworks preferred). Solid Python fundamentals, including exposure to asynchronous programming or performance optimization. Working knowledge of SQL, including writing and debugging queries. Strong frontend fundamentals and ability to build clean, maintainable UI systems (e.g., Tailwind or similar). Familiarity with APIs and service-oriented architectures. Exposure to cloud environments like AWS (or similar). Strong problem-solving skills, clear communication, and a collaborative mindset. Ownership mindset, curiosity, and willingness to learn quickly in a fast-paced environment. Nice to Have Experience working with LLM APIs or AI-driven product features. Exposure to prompt engineering, AI workflows, or automation pipelines. Familiarity with agentic systems, multi-step reasoning, or tool-using models. Experience contributing to production systems (through internships, projects, or professional work).

Job Title: AI Engineer (GCP) - Senior Overview / Summary: We are seeking a Senior AI & Data Engineer to bridge scalable data architecture with Generative AI solutions. This role focuses on building production-grade AI-powered applications and agentic workflows, integrating modern AI architectures into enterprise-scale platforms. The ideal candidate has strong experience in Python-based development, cloud platforms (preferably GCP), and designing data systems that support advanced AI use cases. Key Responsibilities: Architect and deploy agentic AI workflows and Retrieval-Augmented Generation (RAG) solutions Design and implement high-performance analytical data products using streaming and batch processing patterns Develop and manage cloud infrastructure using Infrastructure as Code (Terraform), ensuring security and cost optimization Build and maintain pipelines to monitor data quality, AI model performance, latency, and drift Work in an Agile environment using Test-Driven Development (TDD) and maintain code quality via CI/CD pipelines Implement data governance, protection models, and lineage tracking for compliance and traceability Provide Tier 3 production support for AI services, ensuring uptime and SLA adherence Develop REST APIs using Flask Required Qualifications: 6-8 years of experience in Software or Data Engineering with strong Python development experience 2-4 years of hands-on experience with LLMs, GPT-based APIs, vector databases, and fine-tuning LLMs Strong experience with Google Cloud Platform (GCP), including BigQuery, Vertex AI, Cloud Run, and Postgres Proven experience designing OLTP and OLAP systems and documenting complex data flows Proficiency in Python, SQL, and Terraform Experience with modern AI architectures such as RAG, LangChain, MCP (Model Context Protocol), and Google Agent Development Kit (ADK) Experience in REST API development using Flask Bachelor's degree in a relevant field 7+ years of overall relevant experience What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.

CDS DATA SYSTEMS & AI ENGINEER, Office of the Provost Job Description CDS DATA SYSTEMS & AI ENGINEER, Office of the Provost Category Charles River Campus > Professional Job Location BOSTON, MA, United States Tracking Code Posted Date 10/9/2025 Salary Grade Grade 51 Expected Hiring Range Minimum $100,000.00 Expected Hiring Range Maximum $123,000.00 The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, training and internal pay comparison. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Type Full-Time/Regular The CDS Data Systems, Software, and AI Engineer will serve as the technical lead on a portfolio of interdisciplinary projects spanning software engineering, data systems, and artificial intelligence. The position will guide individuals and teams in the design, development, deployment, and evaluation of (near) production-quality systems-whether software platforms, data infrastructures, or AI-powered solutions-aligned with CDS research, teaching, and operational priorities. Working closely with CDS leadership, this role will also be responsible for selecting, scoping, and resourcing projects. The engineer will play a central role in shaping a critical technical function within a pioneering academic unit, with the potential to impact cutting-edge research, student learning experiences, and the creation of innovative artifacts that advance academic and operational excellence at BU and beyond. This position will also serve as a key liaison with BU units involved in software, data, and AI infrastructure development, including IS&T, BU Spark! Solution Engineers, and BU SAIL. The engineer will supervise student interns and/or soft-funded research staff working on software, data, or AI engineering projects. Specific duties include: Development of Software, Data, and AI Infrastructures and Solutions - 50% Lead the design and implementation of integrated software systems, scalable data infrastructures, and AI-powered applications that support faculty research and clinic-based projects. Standardize development practices across domains by ensuring code quality, data governance, security protocols, and model evaluation. Develop open and extensible artifacts such as modular software platforms, MCP-based data repositories, and AI components, including large language models and agentic AI systems. Close collaboration with technical and administrative leads is required to deliver tailored solutions that meet both experimental and operational needs. Maintain an online repository of completed projects, datasets, software tools, and AI models to ensure transparency, accessibility, and reuse. Experiential Learning Support - 20% Support faculty in delivering high-quality experiential learning through CDS clinics and BU Spark! practicum offerings, with projects spanning software engineering, data science, and AI development. Responsibilities include assisting in project scoping, student applicant assessment, and quality assurance across technical domains. Provide mentorship and technical guidance to junior staff, student project managers, and interns working on software, data, or AI initiatives. In addition, represent CDS as the senior technical lead in meetings with both internal and external partners. Sponsored Research Support - 20% Collaborate with CDS faculty on sponsored research projects that require software prototypes, data pipelines, and AI systems. Support the development and deployment of pilots as well as production-ready artifacts across software, data, and AI domains. Serve as a liaison to BU departments providing computing resources or technical support, including IS&T Research Computing, the Hariri Institute's SAIL, and Medical Campus cores such as BEDAC and the Bioinformatics Core. Technical Consultancy - 10% Provide advisory support to faculty, students, and partners on the design and implementation of pilot projects involving software development, data engineering, and AI integration. Guide innovation efforts within CDS clinics, BU Spark! courses, and student-led initiatives, ensuring technical feasibility and alignment with best practices across all domains. Required Skills Bachelor's degree in Computer Science, Computer Engineering, Computational Sciences, Mathematics, Statistics, or related technical field required. 5-8 years of relevant experience. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, natural or protective hairstyle, religion, sex, age, national origin, physical or mental disability, sexual orientation, gender identity, genetic information, military service, pregnancy or pregnancy-related condition, or because of marital, parental, or veteran status. We are a VEVRAA Federal Contractor. Required Skills Job Location: BOSTON, MA Position Type: Full-Time/Regular Salary Grade: $100,000.00-$123,000.00 To apply, visit Copyright 2025 Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-2733eb1cf9dd0442b7b9716bc1c0aee5

SENIOR AI DEVOPS SPECIALIST, IS&T Applications Job Description SENIOR AI DEVOPS SPECIALIST, IS&T Applications Category Charles River Campus > Professional Job Location BOSTON, United States Tracking Code Posted Date 7/1/2025 Salary Grade Grade 52 Expected Hiring Range Minimum $130,000.00 Expected Hiring Range Maximum $145,000.00 The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, training and internal pay comparison. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Type Full-Time/Regular At Boston University, we are assembling a world-class AI Engineering team to transform operations, drive innovation, and deliver innovative AI applications and agents. This is your chance to work on cutting-edge technologies Agentic AI frameworks, LLMs, RAG, MCP, scalable AI architectures and develop solutions at the forefront of modern artificial intelligence. You will join as the Senior AI DevOps Specialist where you will ensure the scalable deployment, monitoring, and support of AI applications, agents and models, while also contributing to development efforts in collaboration with other full-stack developers. You will focus on managing infrastructure across on-premises, cloud, and hybrid environments, integrating containerization technologies, and supporting advanced AI workflows. This position is primarily remote with periodic in-person meetings on campus as a member of the AI Engineering team, you will handle some of the university's highest priority initiatives. You'll bring your expertise to a vibrant environment that values ingenuity and impact, where your ideas can make a difference on a global scale. Together, we'll deliver AI solutions that not only revolutionize university operations but also become models of innovation for institutions worldwide. Join us to make history, develop transformative technology, and work alongside some of the greatest minds in academia and technology. Be part of the team that will define what's possible in AI for academia and beyond. This position is primarily remote with periodic in-person meetings on campus. You Will: Deployment of AI Applications, Agents & Related Infrastructure Collaborative Development Support AI Model Management & Fine-Tuning Infrastructure Monitoring & Optimization Security, Compliance, & Continuous Improvement Required Skills You Will Have: 8+ years of applicable experience. Degree in Computer Science, Software Engineering, Systems Engineering, or related field. Expertise in containerization (Docker, Kubernetes, AWS ECS) and multi-environment deployment (on-premise, cloud, hybrid). Experience with hosting and fine-tuning LLM/SLM models. Development experience in modern programming languages (e.g., Python, JavaScript, or similar) with familiarity in AI technologies and frameworks (e.g., prompt engineering, RAG, embeddings along with more recent innovations like MCP and A2A). Experience with DevOps practices, scalable architectures, and modern security standards. Boston University offers an excellent benefits package including: Time Off: In addition to PTO and leave policy, BU employees have a paid intersession break and 13 paid holidays. Retirement: University-funded retirement plan with full vesting after 2 years of eligible service. Tuition Assistance Program: Competitive tuition assistance program for yourself and family members. Check out and for more information! Boston University IS&T invests in our staff and their personal and professional growth. We promote staff learning including lunch and learn sessions, an extensive library of online courses, Fun Advisory Board (FAB) arranges a number of events throughout the year and opportunities to engage with peers at NERCOMP and EDUCAUSE events. If you require a reasonable accommodation in order to complete the employment application process, please contact the Equal Opportunity Office at . We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We, at IS&T, appreciate each individual's knowledge, experiences and insights which enhance who we are, and as our DEIA knowledge and practice grows, we will ensure that our Mission, Vision, & Practices remain equitable and welcoming to all. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, natural or protective hairstyle, religion, sex, age, national origin, physical or mental disability, sexual orientation, gender identity, genetic information, military service, pregnancy or pregnancy-related condition, or because of marital, parental, or veteran status. We are a VEVRAA Federal Contractor. Required Skills Job Location: BOSTON Position Type: Full-Time/Regular Salary Grade: $130,000.00-$145,000.00 To apply, visit Copyright 2025 Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-ac4d2f5846f6d0428f

SENIOR AI FULL-STACK DEVELOPER, IS&T Applications Job Description SENIOR AI FULL-STACK DEVELOPER, IS&T Applications Category Charles River Campus > Professional Job Location BOSTON, MA, United States Tracking Code Posted Date 7/1/2025 Salary Grade Grade 51 Expected Hiring Range Minimum $125,000.00 Expected Hiring Range Maximum $135,000.00 The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, training and internal pay comparison. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Type Full-Time/Regular At Boston University, we are assembling a world-class AI Engineering team to transform operations, drive innovation, and deliver innovative AI applications and agents. This is your chance to work on cutting-edge technologies Agentic AI frameworks, LLMs, RAG, MCP, scalable AI architectures and develop solutions at the forefront of modern artificial intelligence. You will join as the Senior AI Full-Stack Developer where you will design, develop, and test AI applications and agents. You will contribute across the entire software development lifecycle, from front-end interfaces to back-end integrations with modern AI technologies. As a member of the AI Engineering team, you will handle some of the university's highest priority initiatives while collaborating with our renowned faculty, students, and industry-leading technical teams. You'll bring your expertise to a vibrant environment that values ingenuity and impact, where your ideas can make a difference on a global scale. Together, we'll deliver AI solutions that not only revolutionize university operations but also become models of innovation for institutions worldwide. This position is primarily remote with periodic in-person meetings on campus. Join us to make history, develop transformative technology, and work alongside some of the greatest minds in academia and technology. Be part of the team that will define what's possible in AI for academia and beyond. You Will: Design, Develop, Test AI Applications/Agents - Create secure, scalable, and user-friendly front-end and back-end features. Integrate modern AI frameworks. Prompt Engineering & AI Optimization - Design and optimize prompts for AI-driven tasks using modern frameworks to ensure effective agent performance and precise task execution. Collaborative Development - Work with other technical teams (e.g., Data Engineering, Automation Engineering, IT Infrastructure) to ensure seamless integration of tools, infrastructure, and operational workflows. Testing & Quality Assurance - Conduct rigorous testing of AI applications/agents, ensuring accuracy, reliability, and adherence to functional requirements. Required Skills You Will Have: 8+ years of applicable experience. Degree in Computer Science, Software Engineering, or related field. Proficiency in full-stack AI development - front-end and back-end (e.g., Python, React, Vue, Node.js, Typescript, API's, databases, Git/GitHub, CI/CD, AI Coding Assistants, Infrastructure as Code, containerization, etc.). Knowledge of recent AI developments (e.g., MCP, A2A, etc.) is desirable. Hands-on experience with prompt engineering, RAG, embeddings, and modern AI frameworks. Knowledge of developing secure, scalable applications. Boston University offers an excellent benefits package including: Time Off: In addition to PTO and leave policy, BU employees have a paid intersession break and 13 paid holidays. Retirement: University-funded retirement plan with full vesting after 2 years of eligible service. Tuition Assistance Program: Competitive tuition assistance program for yourself and family members. Check out and for more information! Boston University IS&T invests in our staff and their personal and professional growth. We promote staff learning including lunch and learn sessions, an extensive library of online courses, Fun Advisory Board (FAB) arranges a number of events throughout the year and opportunities to engage with peers at NERCOMP and EDUCAUSE events. If you require a reasonable accommodation in order to complete the employment application process, please contact the Equal Opportunity Office at . We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We, at IS&T, appreciate each individual's knowledge, experiences and insights which enhance who we are, and as our DEIA knowledge and practice grows, we will ensure that our Mission, Vision, & Practices remain equitable and welcoming to all. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, natural or protective hairstyle, religion, sex, age, national origin, physical or mental disability, sexual orientation, gender identity, genetic information, military service, pregnancy or pregnancy-related condition, or because of marital, parental, or veteran status. We are a VEVRAA Federal Contractor. Required Skills Job Location: BOSTON, MA Position Type: Full-Time/Regular Salary Grade: $125,000.00-$135,000.00 To apply, visit Copyright 2025 Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-9005a8e6fe7efe478c07011d40553bf1