Senior Generative AI Engineer
Senior Generative AI Engineer
Department: 501 Product and Technology
Employment Type: Full Time
Location: Remote, United States of America
Reporting To: Sergey Zyrianov
Description
Our AI Engineering team builds GenAI services (multi-agent orchestration, select domain-specific tools) and empowers other teams to use AI in their applications globally. Our mission is to promote best practices in fast changing AI technologies and help every developer integrate AI into their applications and products. We ensure developers have the tools, resources, and support they need to unlock AI’s full potential.
We are seeking a highly skilled and motivated Python and ML engineer to join our team. The ideal candidate will be responsible for developing the backend of new applications leveraging generative AI engineering practices including their deployment and maintenance in a cloud environment. The ideal candidate should be capable of working independently, handling various aspects of the backend development process, and collaborating with team members as needed. While frontend work will be minimal, a basic understanding of frontend technologies is required.
Key Responsibilities
• Design and build backend services for GenAI workloads (Python, API, LangGraph/LangChain)
• Use and apply generative AI techniques like retrieval, chunking, indexing, knowledge graphs, personalization and others
• Build multi-agent systems and help value stream teams to contribute efficient tools and agents
• Ship containerised services on AWS/Azure with Terraform, Kubernetes and ArgoCD
• Set up automated tests, CI/CD, observability and cost-tracking tools
• Partner with product, security and frontend engineers; review designs and share AI best practices
• Produce demos, templates and internal docs that accelerate adoption company-wide
• Write clean, maintainable, and efficient code following best practices and coding standards
• Perform thorough testing and debugging of the application to ensure functionality and performance including the modern GenAI evaluation practices
• Stay up-to-date with the latest trends and technologies in AI and backend development
Skills, Knowledge & Expertise
• 6+ years in Python programming and ML engineering
• Strong understanding of REST API design and development
• Containerisation & IaC (Docker, Kubernetes, Terraform)
• Hands-on with at least one public LLM platform (Azure OpenAI, Bedrock, Gemini)
• Cloud operations on AWS or Azure (monitoring, incident response, cost-optimisation); experience with multi-agent systems will be an advantage
• Basic understanding of frontend technologies (Typescript, React) to support backend integration
• Strong problem-solving skills and ability to work independently
• Excellent communication and teamwork skills
• Experience with additional AI/ML tools and frameworks like pytorch, tensorflow, pandas, XGBoost, etc.
• Experience with serverless architectures and event-driven architectures (Lambda, EventBridge, Azure Functions)
• Knowledge of CI/CD pipelines and automation tools, other DevOps tools
• Bachelor's degree in Computer Science, Engineering, or related field
• Familiarity with SQL and vector databases, specifically Postgres and Quadrant
Apply Now
Apply Now
Department: 501 Product and Technology
Employment Type: Full Time
Location: Remote, United States of America
Reporting To: Sergey Zyrianov
Description
Our AI Engineering team builds GenAI services (multi-agent orchestration, select domain-specific tools) and empowers other teams to use AI in their applications globally. Our mission is to promote best practices in fast changing AI technologies and help every developer integrate AI into their applications and products. We ensure developers have the tools, resources, and support they need to unlock AI’s full potential.
We are seeking a highly skilled and motivated Python and ML engineer to join our team. The ideal candidate will be responsible for developing the backend of new applications leveraging generative AI engineering practices including their deployment and maintenance in a cloud environment. The ideal candidate should be capable of working independently, handling various aspects of the backend development process, and collaborating with team members as needed. While frontend work will be minimal, a basic understanding of frontend technologies is required.
Key Responsibilities
• Design and build backend services for GenAI workloads (Python, API, LangGraph/LangChain)
• Use and apply generative AI techniques like retrieval, chunking, indexing, knowledge graphs, personalization and others
• Build multi-agent systems and help value stream teams to contribute efficient tools and agents
• Ship containerised services on AWS/Azure with Terraform, Kubernetes and ArgoCD
• Set up automated tests, CI/CD, observability and cost-tracking tools
• Partner with product, security and frontend engineers; review designs and share AI best practices
• Produce demos, templates and internal docs that accelerate adoption company-wide
• Write clean, maintainable, and efficient code following best practices and coding standards
• Perform thorough testing and debugging of the application to ensure functionality and performance including the modern GenAI evaluation practices
• Stay up-to-date with the latest trends and technologies in AI and backend development
Skills, Knowledge & Expertise
• 6+ years in Python programming and ML engineering
• Strong understanding of REST API design and development
• Containerisation & IaC (Docker, Kubernetes, Terraform)
• Hands-on with at least one public LLM platform (Azure OpenAI, Bedrock, Gemini)
• Cloud operations on AWS or Azure (monitoring, incident response, cost-optimisation); experience with multi-agent systems will be an advantage
• Basic understanding of frontend technologies (Typescript, React) to support backend integration
• Strong problem-solving skills and ability to work independently
• Excellent communication and teamwork skills
• Experience with additional AI/ML tools and frameworks like pytorch, tensorflow, pandas, XGBoost, etc.
• Experience with serverless architectures and event-driven architectures (Lambda, EventBridge, Azure Functions)
• Knowledge of CI/CD pipelines and automation tools, other DevOps tools
• Bachelor's degree in Computer Science, Engineering, or related field
• Familiarity with SQL and vector databases, specifically Postgres and Quadrant
Apply Now
Apply Now