We are looking for a GenAI Developer with strong Python, Microservices, Prompt Engineering, Lang

Chain, Lang

Graph, and AI Agent development.

Key Responsibilities: Min 6+ years of experience in Python/Microservices development.

Experienced skilled with strong Python development and Generative AI expertise, especially in prompt engineering.

Leverage GenAI to accelerate: Requirement gathering and analysis.

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, Mule) to auto-generate: Architecture diagrams.

Data flow and sequence diagrams.

Accelerate design creation using GenAI: 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 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.

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, 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, Lang

Chain, Lang

Graph, Bedrock, Anthropic APIs.

Experience with observability tools for AI workflows.

Soft Skills: Strong leadership and mentoring abilities.

Excellent communication and collaboration skills.

Ability to drive innovation and evangelize GenAI adoption across teams.

📌 Gen AI Developer (Mississauga)
🏢 J M Group
📍 Mississauga