Proteam Solutions
Columbus, Ohio
Job Description Job Description Product Software Engineer Seize the opportunity to work with a renowned leader in the healthcare sector, offering innovative solutions that make a real impact. This is your chance to be part of a dynamic team, embracing cutting-edge technology and driving forward-thinking projects. Position Type: Contract To Hire Location: 100% Remote Responsibilities Design, develop, and maintain modern web applications using ReactJS, TypeScript, and contemporary frontend frameworks. Collaborate with Product Managers, UX designers, Architects, and Engineering teams to deliver high-quality digital experiences. Develop and integrate backend services and APIs using technologies such as Python, FastAPI, Flask, or similar frameworks. Build AI-enabled user experiences and workflows by integrating Generative AI, LLMs, copilots, intelligent search, and automation capabilities into business applications. Apply an AI-first engineering mindset to identify opportunities for productivity improvement, intelligent process automation, and enhanced customer experiences. Create reusable components, design patterns, and engineering standards that improve development efficiency and maintainability. Collaborate with Data & Analytics teams to integrate insights, machine learning models, and data-driven decision-making capabilities into applications. Ensure application performance, scalability, accessibility, security, and reliability. Support CI/CD pipelines and DevOps practices to streamline deployments and improve engineering productivity. Lead technical discussions, code reviews, and architectural recommendations. Mentor junior engineers and contribute to a culture of continuous learning and innovation. Evaluate emerging technologies, AI tools, and engineering practices to recommend improvements and drive innovation. Qualifications Required 8 years of professional software engineering experience with a strong record of delivering enterprise applications. Experience working with RAG and LLM required. Experience with AI agents and workflow automation, AI Orchestrators such as Claude Cowork to accelerate SDLC required. Experience with Prompt Engineering. Deep expertise in: ReactJS TypeScript/JavaScript HTML5/CSS3 Modern frontend architecture and design patterns Experience developing backend services using: Python RESTful APIs Microservices architecture Experience integrating applications with cloud platforms such as Azure, AWS, or Google Cloud. Knowledge of CI/CD, Git, automated testing, and Agile development practices. Strong understanding of software architecture, performance optimization, and security best practices. Ability to work independently in a fast-paced, product-oriented environment. Preferred Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent experience. Experience with: GCP Platform GraphQL FastAPI Docker and Kubernetes Healthcare, pharma experience a plus Familiarity with observability and monitoring platforms. What is Expected of You and Others at This Level Applies advanced knowledge of software engineering, architecture, and product development principles to solve complex business challenges. Leads or contributes significantly to large-scale, cross-functional initiatives. Recommends and implements new technologies, engineering practices, and AI-enabled solutions. Independently determines technical approaches and execution plans for complex projects. Provides thought leadership in frontend engineering and modern application development. Drives continuous improvement through automation, process optimization, and emerging technology adoption. Receives guidance on strategic objectives while exercising considerable latitude in achieving results. Delivers solutions that may establish standards, patterns, and best practices across Commercial Technologies. Please note that sponsorship is not provided for this opening. Candidates must now and in the future be legally eligible to work in the US for any employer.
Job Description Job Description Product Software Engineer Seize the opportunity to work with a renowned leader in the healthcare sector, offering innovative solutions that make a real impact. This is your chance to be part of a dynamic team, embracing cutting-edge technology and driving forward-thinking projects. Position Type: Contract To Hire Location: 100% Remote Responsibilities Design, develop, and maintain modern web applications using ReactJS, TypeScript, and contemporary frontend frameworks. Collaborate with Product Managers, UX designers, Architects, and Engineering teams to deliver high-quality digital experiences. Develop and integrate backend services and APIs using technologies such as Python, FastAPI, Flask, or similar frameworks. Build AI-enabled user experiences and workflows by integrating Generative AI, LLMs, copilots, intelligent search, and automation capabilities into business applications. Apply an AI-first engineering mindset to identify opportunities for productivity improvement, intelligent process automation, and enhanced customer experiences. Create reusable components, design patterns, and engineering standards that improve development efficiency and maintainability. Collaborate with Data & Analytics teams to integrate insights, machine learning models, and data-driven decision-making capabilities into applications. Ensure application performance, scalability, accessibility, security, and reliability. Support CI/CD pipelines and DevOps practices to streamline deployments and improve engineering productivity. Lead technical discussions, code reviews, and architectural recommendations. Mentor junior engineers and contribute to a culture of continuous learning and innovation. Evaluate emerging technologies, AI tools, and engineering practices to recommend improvements and drive innovation. Qualifications Required 8 years of professional software engineering experience with a strong record of delivering enterprise applications. Experience working with RAG and LLM required. Experience with AI agents and workflow automation, AI Orchestrators such as Claude Cowork to accelerate SDLC required. Experience with Prompt Engineering. Deep expertise in: ReactJS TypeScript/JavaScript HTML5/CSS3 Modern frontend architecture and design patterns Experience developing backend services using: Python RESTful APIs Microservices architecture Experience integrating applications with cloud platforms such as Azure, AWS, or Google Cloud. Knowledge of CI/CD, Git, automated testing, and Agile development practices. Strong understanding of software architecture, performance optimization, and security best practices. Ability to work independently in a fast-paced, product-oriented environment. Preferred Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent experience. Experience with: GCP Platform GraphQL FastAPI Docker and Kubernetes Healthcare, pharma experience a plus Familiarity with observability and monitoring platforms. What is Expected of You and Others at This Level Applies advanced knowledge of software engineering, architecture, and product development principles to solve complex business challenges. Leads or contributes significantly to large-scale, cross-functional initiatives. Recommends and implements new technologies, engineering practices, and AI-enabled solutions. Independently determines technical approaches and execution plans for complex projects. Provides thought leadership in frontend engineering and modern application development. Drives continuous improvement through automation, process optimization, and emerging technology adoption. Receives guidance on strategic objectives while exercising considerable latitude in achieving results. Delivers solutions that may establish standards, patterns, and best practices across Commercial Technologies. Please note that sponsorship is not provided for this opening. Candidates must now and in the future be legally eligible to work in the US for any employer.
SynergisticIT
Columbus, Ohio
Job Description Job Description Junior Java Full Stack Developer Build, Deploy, and Get Noticed If you know how to code but are not getting callbacks, the problem may not be your ability it may be your job-market readiness. Employers are looking for junior full-stack developers who can do more than complete assignments. They want candidates who can design APIs, connect databases, understand frontend and backend workflows, use Git, and talk confidently about how their applications work. SynergisticIT is seeking candidates interested in Java full-stack development, Spring Boot, React or JavaScript, REST APIs, SQL, microservices, cloud fundamentals, and DevOps basics. This posting is ideal for candidates who want to build a strong foundation in enterprise-style development and become more competitive for entry-level and junior developer roles. Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates -tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? Which one is important to get a Job? -skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): USA Today feature Explore JOPP: Contact: -us/ SynergisticIT JOPP is useful because it helps candidates move from scattered learning to a structured job-placement-focused process. Instead of simply collecting certificates or watching tutorials, candidates can focus on employer-aligned skills, stronger projects, interview readiness, and better resume presentation. Take the next step toward becoming a job-ready Java full-stack developer Contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.
Job Description Job Description Junior Java Full Stack Developer Build, Deploy, and Get Noticed If you know how to code but are not getting callbacks, the problem may not be your ability it may be your job-market readiness. Employers are looking for junior full-stack developers who can do more than complete assignments. They want candidates who can design APIs, connect databases, understand frontend and backend workflows, use Git, and talk confidently about how their applications work. SynergisticIT is seeking candidates interested in Java full-stack development, Spring Boot, React or JavaScript, REST APIs, SQL, microservices, cloud fundamentals, and DevOps basics. This posting is ideal for candidates who want to build a strong foundation in enterprise-style development and become more competitive for entry-level and junior developer roles. Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates -tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? Which one is important to get a Job? -skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): USA Today feature Explore JOPP: Contact: -us/ SynergisticIT JOPP is useful because it helps candidates move from scattered learning to a structured job-placement-focused process. Instead of simply collecting certificates or watching tutorials, candidates can focus on employer-aligned skills, stronger projects, interview readiness, and better resume presentation. Take the next step toward becoming a job-ready Java full-stack developer Contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.
h2o.ai
Addison, Texas
Job Description Job Description H2O.ai is on a mission to democratize AI for Good. As the world's leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built Agents, SLMs, and solutions on their private data. With a focus on secure, compliant, and infrastructure-flexible Sovereign AI deployments, H2O.ai delivers solutions that align with the highest standards of data privacy and control. Its open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Wells Fargo, Bank of America, Workday, Progressive Insurance, and NIH. For more information, visit . About This Opportunity We are looking for a Principal AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems - spanning agentic AI systems, LLM applications, and production ML pipelines. This is a hands-on engineering role embedded within a customer-facing field team, meaning your work will be seen, used, and evaluated by real enterprises from day one. You will work alongside Kaggle Grandmasters, ML engineers, and domain experts to deliver AI that goes beyond demos - into production, into workflows, and into measurable business outcomes. This position is based in Dallas, Texas and requires onsite customer interfacing. What You Will Do Customer Engagement Leadership Lead end-to-end technical engagement with enterprise customers, acting as the senior point of accountability for delivery quality, stakeholder relationships, and outcomes. Manage multiple concurrent engagement streams simultaneously - coordinating workplans, resourcing, and milestones across cross-functional teams. Serve as the primary technical escalation point for customer issues, proactively identifying risks and driving resolution across engineering, product, and leadership. Build and maintain trusted relationships with customer data science teams, engineering leads, and executive stakeholders - translating business needs into technical direction and back again. Lead pre-sales and proof-of-concept engagements, setting the technical strategy and ensuring the team delivers demonstrations that build genuine enterprise trust. Represent H2O.ai externally at customer workshops, executive briefings, and technical deep-dives as a credible senior voice. Agentic AI & LLM Engineering Design and build agentic AI systems and multi-agent frameworks that automate complex, multi-step enterprise workflows. Develop and deploy LLM-powered applications using RAG, fine-tuning, prompt engineering, function calling, and tool use. Implement guardrails, evaluation frameworks, and responsible AI controls to ensure production-grade reliability and safety. Stay current with the rapidly evolving agentic AI landscape - MCP, LLM orchestration frameworks, reasoning models - and bring the best into customer engagements. End-to-End AI Application Development Own the full development lifecycle across multiple streams: from problem framing and data exploration through model development, API integration, and production deployment. Build scalable backend services and APIs that expose AI capabilities to enterprise applications and workflows. Integrate AI models into customer environments - cloud, on-prem, and hybrid - ensuring performance, stability, and maintainability at scale. Develop ML pipelines and LLMOps infrastructure that support continuous model improvement and monitoring in production. Team Collaboration & Delivery Excellence Coordinate delivery across engineers, program managers, and solution architects - ensuring workstreams are aligned, unblocked, and progressing to plan. Set the technical bar for the engagements you lead, reviewing outputs, shaping architecture decisions, and ensuring engineering quality across the team. Mentor and guide junior ML engineers and solution engineers within engagements, building team capability alongside delivery. Collaborate closely with H2O.ai product and engineering teams to surface customer feedback, shape roadmap input, and resolve platform-level issues. What We Are Looking For Experience & Background 8+ years of hands-on AI/ML engineering experience, including end-to-end model development and production deployment. Demonstrable experience leading technical delivery across complex, multi-stakeholder enterprise engagements - not just executing within them. Demonstrable experience building LLM-powered applications - RAG pipelines, agentic workflows, fine-tuned models, or similar. Strong Python engineering skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and LLM tooling (LangChain, LlamaIndex, or equivalent). Experience deploying AI services in cloud or enterprise environments (AWS, Azure, GCP, on-prem Kubernetes). Skills & Capabilities Proven ability to manage multiple concurrent workstreams and coordinate cross-functional teams toward shared delivery milestones. Deep understanding of modern GenAI concepts: prompt engineering, RAG, fine-tuning, RLHF, model evaluation, guardrails, and LLMOps. Solid grounding in classical ML - able to select the right tool for the problem, not just default to the latest LLM. Backend development skills: REST APIs, containerisation (Docker/Kubernetes), and CI/CD pipelines for AI applications. Strong executive communication - able to run a board-level briefing one hour and a technical design review the next, credibly. Comfortable with ambiguity and able to set direction for a team when requirements are incomplete or evolving. How to Stand Out From the Crowd Kaggle or competitive ML experience. Familiarity with H2O.ai products, Wave, or H2O Document AI. Experience in financial services, healthcare, or other regulated industry AI deployments. Exposure to tabular foundation models, AutoML, or enterprise ML platforms. Prior experience in a customer-facing or field engineering role. Why H2O.ai? Market leader in total rewards Remote-friendly culture Flexible working environment Be part of a world-class team Career growth The base salary for this role ranges from $175,000 to $200,000. Compensation is determined based on several factors, including skills, experience, job scope, location, and relevant market compensation data. H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We've made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world's top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company's purpose. Please visit to learn more.
Job Description Job Description H2O.ai is on a mission to democratize AI for Good. As the world's leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built Agents, SLMs, and solutions on their private data. With a focus on secure, compliant, and infrastructure-flexible Sovereign AI deployments, H2O.ai delivers solutions that align with the highest standards of data privacy and control. Its open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Wells Fargo, Bank of America, Workday, Progressive Insurance, and NIH. For more information, visit . About This Opportunity We are looking for a Principal AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems - spanning agentic AI systems, LLM applications, and production ML pipelines. This is a hands-on engineering role embedded within a customer-facing field team, meaning your work will be seen, used, and evaluated by real enterprises from day one. You will work alongside Kaggle Grandmasters, ML engineers, and domain experts to deliver AI that goes beyond demos - into production, into workflows, and into measurable business outcomes. This position is based in Dallas, Texas and requires onsite customer interfacing. What You Will Do Customer Engagement Leadership Lead end-to-end technical engagement with enterprise customers, acting as the senior point of accountability for delivery quality, stakeholder relationships, and outcomes. Manage multiple concurrent engagement streams simultaneously - coordinating workplans, resourcing, and milestones across cross-functional teams. Serve as the primary technical escalation point for customer issues, proactively identifying risks and driving resolution across engineering, product, and leadership. Build and maintain trusted relationships with customer data science teams, engineering leads, and executive stakeholders - translating business needs into technical direction and back again. Lead pre-sales and proof-of-concept engagements, setting the technical strategy and ensuring the team delivers demonstrations that build genuine enterprise trust. Represent H2O.ai externally at customer workshops, executive briefings, and technical deep-dives as a credible senior voice. Agentic AI & LLM Engineering Design and build agentic AI systems and multi-agent frameworks that automate complex, multi-step enterprise workflows. Develop and deploy LLM-powered applications using RAG, fine-tuning, prompt engineering, function calling, and tool use. Implement guardrails, evaluation frameworks, and responsible AI controls to ensure production-grade reliability and safety. Stay current with the rapidly evolving agentic AI landscape - MCP, LLM orchestration frameworks, reasoning models - and bring the best into customer engagements. End-to-End AI Application Development Own the full development lifecycle across multiple streams: from problem framing and data exploration through model development, API integration, and production deployment. Build scalable backend services and APIs that expose AI capabilities to enterprise applications and workflows. Integrate AI models into customer environments - cloud, on-prem, and hybrid - ensuring performance, stability, and maintainability at scale. Develop ML pipelines and LLMOps infrastructure that support continuous model improvement and monitoring in production. Team Collaboration & Delivery Excellence Coordinate delivery across engineers, program managers, and solution architects - ensuring workstreams are aligned, unblocked, and progressing to plan. Set the technical bar for the engagements you lead, reviewing outputs, shaping architecture decisions, and ensuring engineering quality across the team. Mentor and guide junior ML engineers and solution engineers within engagements, building team capability alongside delivery. Collaborate closely with H2O.ai product and engineering teams to surface customer feedback, shape roadmap input, and resolve platform-level issues. What We Are Looking For Experience & Background 8+ years of hands-on AI/ML engineering experience, including end-to-end model development and production deployment. Demonstrable experience leading technical delivery across complex, multi-stakeholder enterprise engagements - not just executing within them. Demonstrable experience building LLM-powered applications - RAG pipelines, agentic workflows, fine-tuned models, or similar. Strong Python engineering skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and LLM tooling (LangChain, LlamaIndex, or equivalent). Experience deploying AI services in cloud or enterprise environments (AWS, Azure, GCP, on-prem Kubernetes). Skills & Capabilities Proven ability to manage multiple concurrent workstreams and coordinate cross-functional teams toward shared delivery milestones. Deep understanding of modern GenAI concepts: prompt engineering, RAG, fine-tuning, RLHF, model evaluation, guardrails, and LLMOps. Solid grounding in classical ML - able to select the right tool for the problem, not just default to the latest LLM. Backend development skills: REST APIs, containerisation (Docker/Kubernetes), and CI/CD pipelines for AI applications. Strong executive communication - able to run a board-level briefing one hour and a technical design review the next, credibly. Comfortable with ambiguity and able to set direction for a team when requirements are incomplete or evolving. How to Stand Out From the Crowd Kaggle or competitive ML experience. Familiarity with H2O.ai products, Wave, or H2O Document AI. Experience in financial services, healthcare, or other regulated industry AI deployments. Exposure to tabular foundation models, AutoML, or enterprise ML platforms. Prior experience in a customer-facing or field engineering role. Why H2O.ai? Market leader in total rewards Remote-friendly culture Flexible working environment Be part of a world-class team Career growth The base salary for this role ranges from $175,000 to $200,000. Compensation is determined based on several factors, including skills, experience, job scope, location, and relevant market compensation data. H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We've made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world's top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company's purpose. Please visit to learn more.