GenAI Developer

• 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.

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.

3.73.7 out of 5 stars Atlanta, GA 30305 Hybrid work $47.34 - $73.96 an hour - Contract, Pulled from the full job description

• Retirement plan
• Vision insurance
• Dental insurance, The pay range that the employer in good faith reasonably expects to pay for this position is $47.34/hour - $73.96/hour. Our offered benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Capgemini ist einer der weltweit führenden Anbieter von Management- und IT-Beratung, Technologie-Services und Digitaler Transformation. Als ein Wegbereiter für Innovation unterstützt das Unternehmen seine Kunden bei deren komplexen Herausforderungen rund um Cloud, Digital und Plattformen.