Postuler

Publié il y a 16 jours

Gen AI Developer

@ J&M Group

Mississauga, Ontario

Contrat6+ ans d’expérience
Postuler
SIGNAUX

Résumé des exigences :

  • Min 6+ years of experience in Python/Microservices development.
  • Leverage GenAI to accelerate: Requirement gathering and analysis.
  • Implement RAG (Retrieval-Augmented Generation) pipelines for knowledge-driven applications.
  • Must-Have Skills
  • Hands-on experience with Claude Code, GitHub Copilot, and prompt engineering.
  • Experience building AI solutions integrated with enterprise APIs.

Outils et compétences

Source et dates

Type de source non vérifié · apify-linkedin

Date publiée par l’employeur
2026-10-26
Première détection par notre source
2026-11-11
Mise à jour du dossier source
2026-11-11

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

ChampValeur
Offres sur Jobsy38
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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