GenAI Engineer

Lumiere Systems • Charlotte, NC

9h

About The Position

Leverage GenAI to accelerate requirement gathering and analysis, design creation (HLD/LLD), reverse engineering of existing applications, and development for enterprise-scale projects. Lead and enable development teams to effectively use GenAI tools and frameworks. Reverse engineer application codebases (Python, Java, Angular, Mule) to auto-generate architecture diagrams, data flow and sequence diagrams. Accelerate design creation using GenAI by proposing API specifications and applying Domain-Driven Design (DDD) patterns. Utilize Claude Code, GitHub Copilot, and similar tools for Pull Request reviews, automated test generation, development, code refactoring and optimization. Build and deploy AI agents using LangChain, 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 responsible AI usage in all GenAI implementations.

Requirements

• Min 10+ years of experience in Python/Microservices development.
• Experienced professional with strong Python development and Generative AI expertise, especially in prompt engineering.
• Strong proficiency in Python and microservice development.
• Hands-on experience with Claude Code, GitHub Copilot, and prompt engineering.
• Expertise in LangChain, LangGraph, LangFlow, and agent-based architectures.
• Solid understanding of software design principles, DDD, and cloud-native architectures.
• Experience building AI solutions integrated with enterprise APIs.

Nice To Haves

• Familiarity with AWS services (Bedrock, Lambda, S3, DynamoDB, Postgres/PGVector).
• Knowledge of containerization (Docker) and CI/CD pipelines.
• Experience with vector databases, embedding models, and LLM fine-tuning.
• Understanding of AI governance, bias mitigation, and responsible AI frameworks.
• Proficiency with FastAPI, LangChain, LangGraph, Bedrock, Anthropic APIs.
• Experience with observability tools for AI workflows.

Responsibilities

• Leverage GenAI to accelerate requirement gathering and analysis.
• Leverage GenAI to accelerate design creation (HLD/LLD).
• Leverage GenAI to accelerate reverse engineering of existing applications.
• Leverage GenAI for development for enterprise-scale projects.
• Lead and enable development teams to effectively use GenAI tools and frameworks.
• Reverse engineer application codebases (Python, Java, Angular, Mule) to auto-generate architecture diagrams.
• Reverse engineer application codebases (Python, Java, Angular, Mule) to auto-generate data flow and sequence diagrams.
• Accelerate design creation using GenAI by proposing API specifications.
• Accelerate design creation using GenAI by applying Domain-Driven Design (DDD) patterns.
• Utilize Claude Code, GitHub Copilot, and similar tools for Pull Request reviews.
• Utilize Claude Code, GitHub Copilot, and similar tools for automated test generation.
• Utilize Claude Code, GitHub Copilot, and similar tools for development, code refactoring and optimization.
• Build and deploy AI agents using LangChain, 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 responsible AI usage in all GenAI implementations.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed