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J&M Group

Gen AI Developer

  • Mississauga, ON, Canada

Contract

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Job details

Job type
Contract
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Experience
Min 6+ years of experience in Python/Microservices development.
Posting language
English
Posted

Original 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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More about this job

Responsibilities

Develop enterprise-scale applications and AI agents using Python, microservices, LangChain, and LangGraph, and implement RAG pipelines integrated with enterprise APIs. Use GenAI tools to accelerate requirements analysis, design, reverse engineering, code development, reviews, testing, and optimization, while promoting adoption and ensuring responsible AI practices.

Requirements

Requires at least six years of Python and microservices development experience, strong prompt engineering skills, and hands-on experience with Claude Code, GitHub Copilot, LangChain, LangGraph, LangFlow, and agent-based architectures. Candidates should understand software design, DDD, cloud-native architectures, and enterprise API integration; AWS, Docker, CI/CD, vector databases, and AI governance are also relevant.

Skills

  • Python
  • Microservices
  • Prompt Engineering
  • LangChain
  • LangGraph
  • LangFlow
  • AI Agent Development
  • Retrieval-Augmented Generation
  • Claude Code
  • GitHub Copilot
  • Domain-Driven Design
  • FastAPI
  • AWS Bedrock
  • Enterprise API Integration
  • Docker
  • CI/CD

Visa sponsorship

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Categories

  • Software
  • Technology
  • Management & Leadership
  • Consulting

Keywords

  • Python
  • Microservices
  • Generative AI
  • Prompt Engineering
  • LangChain
  • LangGraph
  • LangFlow
  • AI Agents
  • Retrieval-Augmented Generation
  • Claude Code
  • GitHub Copilot
  • Reverse Engineering
  • Architecture Diagrams
  • API Specifications
  • Domain-Driven Design
  • Cloud-Native Architecture
  • Enterprise APIs
  • AWS Bedrock
  • AWS Lambda
  • Amazon S3
  • DynamoDB
  • PostgreSQL
  • PGVector
  • Docker
  • CI/CD
  • Vector Databases
  • Embedding Models
  • LLM Fine-Tuning
  • FastAPI
  • Responsible AI

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