This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
This role supports the development and operation of internal AI systems using an established codebase and AWS-native services. The position is focused on practical AI application development, deployment, and enablement rather than research. The developer will contribute code, support AI workflows, assist with MLOps-related activities, and help other developers become productive within the AI environment.
Job Responsibility:
Develop and maintain Python-based AI services using an existing internal codebase
Implement and extend RAG workflows using LangChain and LangGraph
Build and support AI orchestration using AWS Step Functions
Deploy AI services via Git-based CI/CD pipelines in AWS
Participate in Scrum-based development and sprint planning
Translate non-developer feature descriptions into clear/concise work items for developers to execute
Perform code reviews and help establish coding standards
Support onboarding and training of other developers on internal AI frameworks
Collaborate with security and operations teams to support compliant deployments
Requirements:
Strong Python development experience
Hands-on experience with LangChain and/ LangGraph
Expertise writing CRUD API calls supporting AI markdown and corresponding metadata
Prompt Engineering
Experience deploying applications in AWS (Step Functions, Lambda, or containers)
Past experience optimizing AI tools and systems to ensure prompts return efficiently
Proficiency with Git-based workflows and VS Code
Familiarity with Agile/Scrum development
Working knowledge of MLOps fundamentals (CI/CD, environment separation, logging)
5-7 years experience
A bachelor’s degree in computer science (or other relevant concentration) required. An additional three years of directly relevant software development experience may substitute for the degree requirement.
Nice to have:
Experience building or supporting RAG pipelines
Familiarity with metadata tagging, versioned knowledge sources, and access-aware retrieval (ABAC concepts)
Exposure to secure or regulated environments (government experience a plus)
AWS certification
Experience participating in code reviews or mentoring other developers
Full-stack web development experience (Blazor/Angular/React)
What we offer:
Major Medical Insurance for employees and family members
Dental Insurance for employees and family members
Vision Insurance for employees (employee-paid for family members)
Group Life Insurance
Accidental Death and Dismemberment Insurance
Travel Accident Insurance
Long-Term Disability
Short-Term Disability
Supplemental Life Insurance
Flexible Spending Account (pre-tax deferrals for health care expenses)
Money Purchase Pension Plan - 100% Company funded defined contribution retirement plan
Employee Stock Ownership Plan - 100% Company funded discretionary contribution