Experienced professional with robust Python development and Generative AI expertise, especially in prompt engineering.Key Responsibilities Leverage Gen AI to accelerate: Requirement gathering and analysis.Design creation (HLD/LLD).Reverse engineering of existing applications.Lead and enable development teams to effectively use Gen AI tools and frameworks.Reverse engineer application codebases (Python, Java, Angular, Mule) to auto-generate:Data flow and sequence diagrams.Propose API specifications.Apply Domain-Driven Design (DDD) patterns.Utilize Claude Code, Git Hub Copilot, and similar tools for:Pull Request reviews.Automated test generation.Development, Code refactoring and optimization.Build and deploy AI agents using Lang Chain, Lang Graph, integrated with enterprise APIs.Implement RAG (Retrieval-Augmented Generation) pipelines for knowledge-driven applications.Drive prompt engineering best practices and Gen AI use case adoption across teams.Conduct workshops and training sessions for developers on Gen AI tools and frameworks.Ensure security, compliance,



and responsible AI usage in all Gen AI implementations.Must-Have Skills Strong proficiency in Python and microservice development.Hands-on experience with Claude Code, Git Hub Copilot, and prompt engineering.Expertise in Lang Chain, Lang Graph, Lang Flow, and agent-based architectures.Solid understanding of software design principles, DDD, and cloud-native architectures.Experience building AI solutions integrated with enterprise APIs.Preferred Skills Familiarity with AWS services (Bedrock, Lambda, S3, Dynamo DB, 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 Fast API, Lang Chain, Lang Graph, Bedrock, Anthropic APIs.Experience with observability tools for AI workflows.#J-18808-Ljbffr

📌 Gen Ai Developer (Mississauga)
🏢 Epsilon Solutions
📍 Mississauga