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# GenAI Developer

- **Company:** Capgemini
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Salary:** $98,467.0 - $153,837.0
- **Contract:** Temporary contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Automation of Tests, Cloud Engineering, Amazon DynamoDB, Python (Programming Language), PostgreSQL, Reverse Engineering, Openapi, GitHub Copilot, Retrieval-Augmented Generation, Large Language Models, Grafana, Prompt Engineering, Generative AI, Fastapi, Build Management, Containerization, AngularJS, Solid Principles, Domain Driven Design, Code Restructuring, Automation Anywhere, Docker, Mulesoft, Microservices
- **Published:** May 15, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=84c47f69fa50296f

## About the Role

Do you have experience in System design?, * Minimum 10 years of experience in Python microservices development.

 * Strong background in Python development and Generative AI, especially prompt engineering.
 * 10-18 years overall experience across the broader technical stack, including networking (if relevant to the JD's intent)., * Strong proficiency in Python and microservice development.
 * Hands-on experience with:
 + Claude Code
 + GitHub Copilot
 + Prompt engineering
 * Expertise in:
 + LangChain
 + LangGraph
 + LangFlow
 + Agent-based architectures
 * Solid understanding of:
 + Software design principles
 + Domain-Driven Design (DDD)
 + Cloud-native architectures
 * Experience building AI solutions integrated with enterprise APIs.

Preferred Skills

 * Familiarity with AWS services such as:
 + Bedrock
 + Lambda
 + S3
 + DynamoDB
 + Postgres / PGVector
 * Knowledge of:
 + Containerization (Docker)
 + CI/CD pipelines
 * Experience with:
 + Vector databases
 + Embedding models
 + LLM fine-tuning
 * Understanding of:
 + AI governance
 + Bias mitigation
 + Responsible AI frameworks
 * Proficiency with:
 + FastAPI
 + LangChain
 + LangGraph
 + Bedrock
 + Anthropic APIs
 * Experience with observability tools for AI workflows.

Soft Skills

 * Strong leadership and mentoring capabilities.
 * Excellent communication and cross-team collaboration skills.
 * Ability to drive innovation and champion GenAI adoption across teams.

## Description

* Leverage GenAI to accelerate:
 + Requirement gathering and analysis
 + High-level and low-level design creation (HLD/LLD)
 + Reverse engineering of existing applications
 + Development for enterprise-scale projects
 * Lead and enable development teams to effectively use GenAI tools and frameworks.
 * Reverse engineer application codebases (Python, Java, Angular, MuleSoft) to auto-generate:
 + Architecture diagrams
 + Data flow diagrams
 + Sequence diagrams
 * Accelerate design creation using GenAI methodologies.
 * Propose API specifications aligned to system and domain needs.
 * Domain-Driven Design (DDD) patterns in solution architecture.
 * Utilize Claude Code, GitHub Copilot, and similar tools to support:
 + Pull Request reviews
 + Automated test generation
 + Development, code refactoring, and optimization
 * Build and deploy AI agents using LangChain and LangGraph, integrated with enterprise APIs.
 * Implement RAG (Retrieval-Augmented Generation) pipelines for knowledge-driven applications.
 * Drive prompt engineering best practices and GenAI use-case adoption across teams.
 * Conduct workshops and training sessions for developers on GenAI tools and frameworks.
 * Ensure security compliance and promote responsible AI usage across implementations.


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