StoreGen is chartered with supporting Stores teams in their AI-native development journey. Pippin is StoreGen's AI-assisted design and planning tool - the surface where builders plan, write, and collaborate as they build - and it is about to become one of the most widely used internal platforms at Amazon. With Quip's deprecation, Pippin inherits a user base of 384K daily active builders. The Foundation Team is the team that makes Pippin run at that scale. As its founding SDM, you are not inheriting a steady-state system - you are building a team from scratch at the most consequential moment in Pippin's history. You will own Tier 1 reliability for a platform hundreds of thousands of builders depend on daily, and you will lead your team in experimenting with AI-native approaches to how that platform runs: automating operational workflows, accelerating incident resolution, optimizing cost, and hardening security - not through traditional engineering alone, but by making AI a first-class participant in how the Foundation Team operates. This experimentation mandate is what directly advances StoreGen's AI-native charter and what makes this role different from every other ops-oriented SDM role at Amazon. You will not be choosing between running a platform and innovating on it. Both are the job - and you will be doing both at a scale few internal tools ever reach. Key job responsibilities - Build the Foundation Team. This is a founding role. You will hire, develop, and set the culture and technical bar for a new team of engineers - Own Tier 1 reliability. You are responsible for the operational health of Pippin at scale - SLA management, incident response, and platform stability for hundreds of thousands of daily active users. - Lead the Quip migration. You will execute the transition of Quip's user base to Pippin across staggered cohorts, ensuring continuity for builders across Amazon who depend on document collaboration daily. - Drive platform development. Beyond operations, you will own the roadmap for platform features - reliability improvements, document store architecture, and the core editing and collaboration experience. - Experiment with AI-native operations. Within your charter, you will lead the team in applying AI to how the platform runs - automating operational workflows, accelerating incident resolution, and exploring how AI changes what it means to operate a production system. - Partner with the Lab Team. You will work closely with your peer SDM to share on-call responsibility, coordinate on shared platform features, and advance Pippin's AI-native mission together. About the team StoreGen collaborates with and supports Stores teams in their AI-native development journey. Pippin is StoreGen's AI-assisted design and planning tool, purpose-built to accelerate builders in the SDLC - from planning and design through execution and review. The Foundation Team is the team that makes sure Pippin runs reliably at the scale that mission demands. BASIC QUALIFICATIONS - 3+ years of engineering team management experience - 7+ years of engineering experience - 8+ years of leading the definition and development of multi tier web services experience - 3+ years of Software Engineer, Software Developer, or related occupational experience - 1+ years of providing technical leadership and project management for all aspects of the software development lifecycle experience - 1+ years of developing large-scale, multi-tiered distributed software systems using Java, C#, or C++ experience - 1+ years of developing large-scale, multi-tiered distributed software systems using service-oriented architecture experience - 1+ years of developing large-scale, multi-tiered distributed software systems using distributed programming experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams PREFERRED QUALIFICATIONS - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers - Experience building and managing teams - Experience applying AI or automation to reduce operational toil or improve system reliability - Background in developer tooling, document platforms, or collaboration software - Experience managing through a large-scale system migration or user base transition Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 184 200.00 USD annually
07/26/2026
Full time
StoreGen is chartered with supporting Stores teams in their AI-native development journey. Pippin is StoreGen's AI-assisted design and planning tool - the surface where builders plan, write, and collaborate as they build - and it is about to become one of the most widely used internal platforms at Amazon. With Quip's deprecation, Pippin inherits a user base of 384K daily active builders. The Foundation Team is the team that makes Pippin run at that scale. As its founding SDM, you are not inheriting a steady-state system - you are building a team from scratch at the most consequential moment in Pippin's history. You will own Tier 1 reliability for a platform hundreds of thousands of builders depend on daily, and you will lead your team in experimenting with AI-native approaches to how that platform runs: automating operational workflows, accelerating incident resolution, optimizing cost, and hardening security - not through traditional engineering alone, but by making AI a first-class participant in how the Foundation Team operates. This experimentation mandate is what directly advances StoreGen's AI-native charter and what makes this role different from every other ops-oriented SDM role at Amazon. You will not be choosing between running a platform and innovating on it. Both are the job - and you will be doing both at a scale few internal tools ever reach. Key job responsibilities - Build the Foundation Team. This is a founding role. You will hire, develop, and set the culture and technical bar for a new team of engineers - Own Tier 1 reliability. You are responsible for the operational health of Pippin at scale - SLA management, incident response, and platform stability for hundreds of thousands of daily active users. - Lead the Quip migration. You will execute the transition of Quip's user base to Pippin across staggered cohorts, ensuring continuity for builders across Amazon who depend on document collaboration daily. - Drive platform development. Beyond operations, you will own the roadmap for platform features - reliability improvements, document store architecture, and the core editing and collaboration experience. - Experiment with AI-native operations. Within your charter, you will lead the team in applying AI to how the platform runs - automating operational workflows, accelerating incident resolution, and exploring how AI changes what it means to operate a production system. - Partner with the Lab Team. You will work closely with your peer SDM to share on-call responsibility, coordinate on shared platform features, and advance Pippin's AI-native mission together. About the team StoreGen collaborates with and supports Stores teams in their AI-native development journey. Pippin is StoreGen's AI-assisted design and planning tool, purpose-built to accelerate builders in the SDLC - from planning and design through execution and review. The Foundation Team is the team that makes sure Pippin runs reliably at the scale that mission demands. BASIC QUALIFICATIONS - 3+ years of engineering team management experience - 7+ years of engineering experience - 8+ years of leading the definition and development of multi tier web services experience - 3+ years of Software Engineer, Software Developer, or related occupational experience - 1+ years of providing technical leadership and project management for all aspects of the software development lifecycle experience - 1+ years of developing large-scale, multi-tiered distributed software systems using Java, C#, or C++ experience - 1+ years of developing large-scale, multi-tiered distributed software systems using service-oriented architecture experience - 1+ years of developing large-scale, multi-tiered distributed software systems using distributed programming experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience partnering with product or program management teams PREFERRED QUALIFICATIONS - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers - Experience building and managing teams - Experience applying AI or automation to reduce operational toil or improve system reliability - Background in developer tooling, document platforms, or collaboration software - Experience managing through a large-scale system migration or user base transition Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 184 200.00 USD annually
Amazon Web Services (AWS) is looking for a Network Infrastructure Engineer to build Amazon Dedicated Cloud regions as part of our Infrastructure Operations team. As dedicated cloud regions continue to expand and grow, Infrastructure Operations is looking for builders to take on the challenge of scaling network systems allowing us to stay ahead of customer demand. As a Network Infrastructure Engineer, you will work in a dynamic environment to drive the stability and sustainability of our next-generation networks and assist in the development of innovative ways to automate and scale our network. The position's responsibilities include scaling support of several data center locations and day to day assistance with capacity management. Engineers will work closely with internal customers and external vendors to facilitate smooth project execution as directed by Technical Program Managers. The ideal candidate should be highly autonomous, very detail oriented, possess strong written and verbal communication skills and have significant experience in supporting large scale, enterprise class networks. Excellent network implementation and troubleshooting skills combined with a proven documentation methodology is also required. The desire and ability to work in a fast paced, collaborative environment is essential. In addition to providing top-tier management and support of Amazon's vast network infrastructure, Network Infrastructure Engineers are expected to build or enhance tools, develop best practices, refine operational procedures and think proactively. This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. Key job responsibilities - Clearly communicate project status and blockers to leadership and project management. - Perform device build and cabling validation activities. - Manage cabling vendor activities and performing quality assurance activities. - Support Network Engineering deployment activities during scheduled change management windows and participate in the migration (possibly off business hrs), basic configuration and rollout of new or upgraded hardware - Complete customer requests via Remedy trouble ticketing system - Troubleshoot networking, routing and inter connectivity issues, including troubleshooting of network device configuration and low-level application interaction. Deliver simple, sustainable and repeatable solutions and processes. - Manage work and priorities through ticketing system and workflow and Collaborate with various stakeholders to remove project obstacles - Travel within geographical work area is required, up to 40% travel outside traditional work area may be required possibly including international travel and experience with small project scopes and ambiguous details within a relevant work environment A day in the life A day in the life of a Network Design Engineer on our team includes attending meetings, creating and executing change management activities in the data centre, deploying hardware, connecting cabling, troubleshooting links, updating tickets, working with peers from all across AWS to innovate and develop, and finding new ways to do it all better for our customers. About the team AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 3+ years of data center engineering or operations experience - Experience with Microsoft Office including Outlook, Word, and Excel - Knowledge of network design and layout as well as low voltage (copper/ fiber) cabling - Current, active US Government Security Clearance of TS/SCI with Polygraph PREFERRED QUALIFICATIONS - Bachelor's degree in Computer Science, Information Security, or a related field - Knowledge of IP networking fundamentals such as BGP, OSPF and other R&S technologies - General comprehension of the various components and sub-components of data center infrastructure Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, VA, Culpeper - 96 300.00 USD annually
07/26/2026
Full time
Amazon Web Services (AWS) is looking for a Network Infrastructure Engineer to build Amazon Dedicated Cloud regions as part of our Infrastructure Operations team. As dedicated cloud regions continue to expand and grow, Infrastructure Operations is looking for builders to take on the challenge of scaling network systems allowing us to stay ahead of customer demand. As a Network Infrastructure Engineer, you will work in a dynamic environment to drive the stability and sustainability of our next-generation networks and assist in the development of innovative ways to automate and scale our network. The position's responsibilities include scaling support of several data center locations and day to day assistance with capacity management. Engineers will work closely with internal customers and external vendors to facilitate smooth project execution as directed by Technical Program Managers. The ideal candidate should be highly autonomous, very detail oriented, possess strong written and verbal communication skills and have significant experience in supporting large scale, enterprise class networks. Excellent network implementation and troubleshooting skills combined with a proven documentation methodology is also required. The desire and ability to work in a fast paced, collaborative environment is essential. In addition to providing top-tier management and support of Amazon's vast network infrastructure, Network Infrastructure Engineers are expected to build or enhance tools, develop best practices, refine operational procedures and think proactively. This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. Key job responsibilities - Clearly communicate project status and blockers to leadership and project management. - Perform device build and cabling validation activities. - Manage cabling vendor activities and performing quality assurance activities. - Support Network Engineering deployment activities during scheduled change management windows and participate in the migration (possibly off business hrs), basic configuration and rollout of new or upgraded hardware - Complete customer requests via Remedy trouble ticketing system - Troubleshoot networking, routing and inter connectivity issues, including troubleshooting of network device configuration and low-level application interaction. Deliver simple, sustainable and repeatable solutions and processes. - Manage work and priorities through ticketing system and workflow and Collaborate with various stakeholders to remove project obstacles - Travel within geographical work area is required, up to 40% travel outside traditional work area may be required possibly including international travel and experience with small project scopes and ambiguous details within a relevant work environment A day in the life A day in the life of a Network Design Engineer on our team includes attending meetings, creating and executing change management activities in the data centre, deploying hardware, connecting cabling, troubleshooting links, updating tickets, working with peers from all across AWS to innovate and develop, and finding new ways to do it all better for our customers. About the team AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 3+ years of data center engineering or operations experience - Experience with Microsoft Office including Outlook, Word, and Excel - Knowledge of network design and layout as well as low voltage (copper/ fiber) cabling - Current, active US Government Security Clearance of TS/SCI with Polygraph PREFERRED QUALIFICATIONS - Bachelor's degree in Computer Science, Information Security, or a related field - Knowledge of IP networking fundamentals such as BGP, OSPF and other R&S technologies - General comprehension of the various components and sub-components of data center infrastructure Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, VA, Culpeper - 96 300.00 USD annually
Job Description Job Description We are seeking a talented and experienced AI / ML Engineer to join our team. We're a trailblazing A.I. Telecommunications company, searching for an individual who can lead the charge in AI / ML solutions that make an impact in the lives of millions. Role and Responsibilities: We are seeking a AI / ML Engineer to join our backend python team at Belva. As an AI / ML Engineer, you will work closely with our ML and Data Engineers to turn Machine Learning models and data pipelines into robust software applications. You will play a central role in designing and developing our core AI / ML solutions. The ideal candidate should have at least 2 years of experience as an AI / ML Engineer in production environments. You must have a solid understanding LLM prompt development, You will be working as a part of a highly experienced and fast moving team of passionate product builders. Duties / Responsibilities: 2+ years industry experience Strong expertise in C++ and Python Experience in natural language processing / machine translation / text-to-speech Experience in deploying user-facing machine learning systems in production Experience in Machine Learning algorithms and hands-on experience with ML toolkits like TensorFlow or PyTorch is a plus Outstanding spoken and written communication skills Highly motivated, creative, organized and a strong problem solver Experience with prompt development using LLM's such as ChatGPT, Llama 2, Claude 2, etc. Required Skills/Abilities: Bachelor's degree in Computer Science, Software Engineering, or a related technical field. Minimum of 2 years of professional experience as an AI / ML Engineer in production environments. Solid understanding of Python deployment best practices, including dependency management, virtual environments, containerization, etc. Solid knowledge of continuous integration and continuous deployment (CI/CD) practices and the ability to set up and manage automated deployment pipelines. Proven track record of delivering high-quality, production-grade software solutions in a fast-moving team environment. Work with other teams (i.e., Product, PM, etc.) to ensure delivered code meets specifications based on functional/technical specifications. Create unit and integration tests to fully test and regress software. Break down complex requirements into independent coding tasks and strategies. Qualifications and Experience: Must be a Citizen or Green Card Holder and live in the United States B.S. in Computer Science or equivalent experience 2+ years of professional experience as an AI / ML Engineer. Excellent problem-solving skills and the ability to tackle complex challenges. Prior experience in leadership or mentorship roles is a plus. Strong verbal and written communication skills. Openness to new ideas and an unceasing desire to learn new things. Preferred Qualifications: Experience with database systems such as PostgreSQL and MongoDB. Experience with orchestration tools such as Kubernetes is desirable. Experience with Atlassian tools: JIRA, Confluence, etc. Why Join Us: Industry Leadership: Become a key player in a pioneering A.I. Telecommunications company that is an upcoming industry leader. Meaningful Impact: Contribute to the creation of accessible and flexible A.I. Telecommunications solutions that empower customers and businesses. Professional Growth: Embrace challenging projects that expand your skill set, foster continuous learning, and elevate your career trajectory. We eagerly anticipate the chance to discuss how your expertise can contribute to our team's success and make a lasting difference. Your consideration is highly valued, and we look forward to the possibility of working together. Company Description AI telecommunications Company Description AI telecommunications
07/24/2026
Full time
Job Description Job Description We are seeking a talented and experienced AI / ML Engineer to join our team. We're a trailblazing A.I. Telecommunications company, searching for an individual who can lead the charge in AI / ML solutions that make an impact in the lives of millions. Role and Responsibilities: We are seeking a AI / ML Engineer to join our backend python team at Belva. As an AI / ML Engineer, you will work closely with our ML and Data Engineers to turn Machine Learning models and data pipelines into robust software applications. You will play a central role in designing and developing our core AI / ML solutions. The ideal candidate should have at least 2 years of experience as an AI / ML Engineer in production environments. You must have a solid understanding LLM prompt development, You will be working as a part of a highly experienced and fast moving team of passionate product builders. Duties / Responsibilities: 2+ years industry experience Strong expertise in C++ and Python Experience in natural language processing / machine translation / text-to-speech Experience in deploying user-facing machine learning systems in production Experience in Machine Learning algorithms and hands-on experience with ML toolkits like TensorFlow or PyTorch is a plus Outstanding spoken and written communication skills Highly motivated, creative, organized and a strong problem solver Experience with prompt development using LLM's such as ChatGPT, Llama 2, Claude 2, etc. Required Skills/Abilities: Bachelor's degree in Computer Science, Software Engineering, or a related technical field. Minimum of 2 years of professional experience as an AI / ML Engineer in production environments. Solid understanding of Python deployment best practices, including dependency management, virtual environments, containerization, etc. Solid knowledge of continuous integration and continuous deployment (CI/CD) practices and the ability to set up and manage automated deployment pipelines. Proven track record of delivering high-quality, production-grade software solutions in a fast-moving team environment. Work with other teams (i.e., Product, PM, etc.) to ensure delivered code meets specifications based on functional/technical specifications. Create unit and integration tests to fully test and regress software. Break down complex requirements into independent coding tasks and strategies. Qualifications and Experience: Must be a Citizen or Green Card Holder and live in the United States B.S. in Computer Science or equivalent experience 2+ years of professional experience as an AI / ML Engineer. Excellent problem-solving skills and the ability to tackle complex challenges. Prior experience in leadership or mentorship roles is a plus. Strong verbal and written communication skills. Openness to new ideas and an unceasing desire to learn new things. Preferred Qualifications: Experience with database systems such as PostgreSQL and MongoDB. Experience with orchestration tools such as Kubernetes is desirable. Experience with Atlassian tools: JIRA, Confluence, etc. Why Join Us: Industry Leadership: Become a key player in a pioneering A.I. Telecommunications company that is an upcoming industry leader. Meaningful Impact: Contribute to the creation of accessible and flexible A.I. Telecommunications solutions that empower customers and businesses. Professional Growth: Embrace challenging projects that expand your skill set, foster continuous learning, and elevate your career trajectory. We eagerly anticipate the chance to discuss how your expertise can contribute to our team's success and make a lasting difference. Your consideration is highly valued, and we look forward to the possibility of working together. Company Description AI telecommunications Company Description AI telecommunications
Job Description Job Description We are seeking a talented and experienced AI / ML Engineer to join our team. We're a trailblazing A.I. Telecommunications company, searching for an individual who can lead the charge in AI / ML solutions that make an impact in the lives of millions. Role and Responsibilities: We are seeking a AI / ML Engineer to join our backend python team at Belva. As an AI / ML Engineer, you will work closely with our ML and Data Engineers to turn Machine Learning models and data pipelines into robust software applications. You will play a central role in designing and developing our core AI / ML solutions. The ideal candidate should have at least 2 years of experience as an AI / ML Engineer in production environments. You must have a solid understanding LLM prompt development, You will be working as a part of a highly experienced and fast moving team of passionate product builders. Duties / Responsibilities: 2+ years industry experience Strong expertise in C++ and Python Experience in natural language processing / machine translation / text-to-speech Experience in deploying user-facing machine learning systems in production Experience in Machine Learning algorithms and hands-on experience with ML toolkits like TensorFlow or PyTorch is a plus Outstanding spoken and written communication skills Highly motivated, creative, organized and a strong problem solver Experience with prompt development using LLM's such as ChatGPT, Llama 2, Claude 2, etc. Required Skills/Abilities: Bachelor's degree in Computer Science, Software Engineering, or a related technical field. Minimum of 2 years of professional experience as an AI / ML Engineer in production environments. Solid understanding of Python deployment best practices, including dependency management, virtual environments, containerization, etc. Solid knowledge of continuous integration and continuous deployment (CI/CD) practices and the ability to set up and manage automated deployment pipelines. Proven track record of delivering high-quality, production-grade software solutions in a fast-moving team environment. Work with other teams (i.e., Product, PM, etc.) to ensure delivered code meets specifications based on functional/technical specifications. Create unit and integration tests to fully test and regress software. Break down complex requirements into independent coding tasks and strategies. Qualifications and Experience: Must be a Citizen or Green Card Holder and live in the United States B.S. in Computer Science or equivalent experience 2+ years of professional experience as an AI / ML Engineer. Excellent problem-solving skills and the ability to tackle complex challenges. Prior experience in leadership or mentorship roles is a plus. Strong verbal and written communication skills. Openness to new ideas and an unceasing desire to learn new things. Preferred Qualifications: Experience with database systems such as PostgreSQL and MongoDB. Experience with orchestration tools such as Kubernetes is desirable. Experience with Atlassian tools: JIRA, Confluence, etc. Why Join Us: Industry Leadership: Become a key player in a pioneering A.I. Telecommunications company that is an upcoming industry leader. Meaningful Impact: Contribute to the creation of accessible and flexible A.I. Telecommunications solutions that empower customers and businesses. Professional Growth: Embrace challenging projects that expand your skill set, foster continuous learning, and elevate your career trajectory. We eagerly anticipate the chance to discuss how your expertise can contribute to our team's success and make a lasting difference. Your consideration is highly valued, and we look forward to the possibility of working together. Company Description AI telecommunications Company Description AI telecommunications
07/24/2026
Full time
Job Description Job Description We are seeking a talented and experienced AI / ML Engineer to join our team. We're a trailblazing A.I. Telecommunications company, searching for an individual who can lead the charge in AI / ML solutions that make an impact in the lives of millions. Role and Responsibilities: We are seeking a AI / ML Engineer to join our backend python team at Belva. As an AI / ML Engineer, you will work closely with our ML and Data Engineers to turn Machine Learning models and data pipelines into robust software applications. You will play a central role in designing and developing our core AI / ML solutions. The ideal candidate should have at least 2 years of experience as an AI / ML Engineer in production environments. You must have a solid understanding LLM prompt development, You will be working as a part of a highly experienced and fast moving team of passionate product builders. Duties / Responsibilities: 2+ years industry experience Strong expertise in C++ and Python Experience in natural language processing / machine translation / text-to-speech Experience in deploying user-facing machine learning systems in production Experience in Machine Learning algorithms and hands-on experience with ML toolkits like TensorFlow or PyTorch is a plus Outstanding spoken and written communication skills Highly motivated, creative, organized and a strong problem solver Experience with prompt development using LLM's such as ChatGPT, Llama 2, Claude 2, etc. Required Skills/Abilities: Bachelor's degree in Computer Science, Software Engineering, or a related technical field. Minimum of 2 years of professional experience as an AI / ML Engineer in production environments. Solid understanding of Python deployment best practices, including dependency management, virtual environments, containerization, etc. Solid knowledge of continuous integration and continuous deployment (CI/CD) practices and the ability to set up and manage automated deployment pipelines. Proven track record of delivering high-quality, production-grade software solutions in a fast-moving team environment. Work with other teams (i.e., Product, PM, etc.) to ensure delivered code meets specifications based on functional/technical specifications. Create unit and integration tests to fully test and regress software. Break down complex requirements into independent coding tasks and strategies. Qualifications and Experience: Must be a Citizen or Green Card Holder and live in the United States B.S. in Computer Science or equivalent experience 2+ years of professional experience as an AI / ML Engineer. Excellent problem-solving skills and the ability to tackle complex challenges. Prior experience in leadership or mentorship roles is a plus. Strong verbal and written communication skills. Openness to new ideas and an unceasing desire to learn new things. Preferred Qualifications: Experience with database systems such as PostgreSQL and MongoDB. Experience with orchestration tools such as Kubernetes is desirable. Experience with Atlassian tools: JIRA, Confluence, etc. Why Join Us: Industry Leadership: Become a key player in a pioneering A.I. Telecommunications company that is an upcoming industry leader. Meaningful Impact: Contribute to the creation of accessible and flexible A.I. Telecommunications solutions that empower customers and businesses. Professional Growth: Embrace challenging projects that expand your skill set, foster continuous learning, and elevate your career trajectory. We eagerly anticipate the chance to discuss how your expertise can contribute to our team's success and make a lasting difference. Your consideration is highly valued, and we look forward to the possibility of working together. Company Description AI telecommunications Company Description AI telecommunications