Pay Range: $45.00hr - $50.00hr

Job Overview:

The ideal candidate has a minimum of 6 years of experience in Python and microservices development, with strong expertise in Generative AI, especially prompt engineering.

Responsibilities:

- Leverage GenAI to accelerate requirement gathering, 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 and LangGraph integrated with enterprise APIs.
- Implement Retrieval-Augmented Generation (RAG) 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 microservices 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, Domain-Driven Design (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, LangChain, LangGraph, Bedrock, and Anthropic APIs.
- Experience with observability tools for AI workflows.

Soft Skills:

- Robust leadership and mentoring abilities.
- Excellent communication and collaboration skills.
- Ability to drive innovation and evangelize GenAI adoption across teams.

📌 Senior Generative AI Developer (Mississauga)
🏢 Cynet Systems
📍 Mississauga