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Posted 16 days ago

Gen AI Developer

@ J&M Group

Mississauga, Ontario

Contract6+ years experience
Apply now
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Overview

J&M Group is hiring a contract GenAI Developer to build AI agents and RAG pipelines with Python, LangChain and LangGraph, integrated with enterprise APIs. The role also leads teams in using GenAI tools for requirements, design, reverse engineering and code review.

Responsibilities:

  • Build and deploy AI agents with LangChain and LangGraph
  • Implement RAG pipelines for knowledge-driven applications
  • Use Claude Code and GitHub Copilot for reviews and test generation
  • Reverse engineer codebases to generate architecture diagrams
  • Train developers on GenAI tools and frameworks

Requirements summary:

  • 6+ years of Python and microservices development
  • Hands-on prompt engineering and Claude Code or Copilot experience
  • Expertise in LangChain, LangGraph and agent architectures
  • Knowledge of DDD and cloud-native architectures
  • Experience integrating AI solutions with enterprise APIs

Tools & skills

Source and dates

Source type not verified · apify-linkedin

Employer posting date
2026-10-26
First seen by our source
2026-11-11
Source record updated
2026-11-11

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SenioritySenior
DepartmentSoftware development
Experience6+ years
Work settingHome, Office
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish

Summary and details written by AI from the posting; the employer’s posting is the authority.

J&M Group

FieldValue
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Job description
We are looking for a GenAI Developer with strong Python, Microservices, Prompt Engineering, LangChain, LangGraph, and AI Agent development.

Key Responsibilities

  • Min 6+ years of experience in Python/Microservices development.
  • Experienced professional 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, 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.

Must-Have Skills

  • 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.

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, 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.

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