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Software Engineer (Agentic AI)

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Summary

Builds production-grade agentic AI systems (not PoCs): designing Python backend services (Go/Rust a plus), architecting agent orchestration with memory, guardrails and tool calling, and using AI dev tools like Claude Code, Copilot and Codex daily. Requires 7+ years software engineering and Canadian PR status.

Remote | Montreal (must be a Permanent Resident - PR)

Build production-grade Agentic AI systems, not proofs of concept.

We are seeking a hands-on Software Developer to design, build, and deploy enterprise-scale AI solutions that solve real business problems. This is a software engineering role focused on creating production-ready agentic systems using context, memory, guardrails, tool calling, orchestration, and AI-driven development workflows. NOTE: this is a not ML Engineer or Data Scientist

What You'll Do

  • Design and build enterprise-grade Agentic AI solutions and AI-powered applications.
  • Develop scalable backend services using Python (and ideally Go or Rust).
  • Architect systems that integrate with multiple internal services while optimizing performance and latency.
  • Leverage agentic coding tools such as Claude Code, Codex, and Copilot to accelerate development.
  • Guide, validate, and improve AI-generated outputs, ensuring reliability, security, and production readiness.
  • Evaluate emerging AI technologies and drive AI adoption across the SDLC.

What We're Looking For

  • 7+ years of software engineering experience
  • 3-5+ years building and deploying AI solutions in production environments
  • Experience building Agentic AI systems and enterprise-scale GenAI solutions
  • Strong system design and software architecture skills
  • Proven track record delivering highly available, production-grade applications
  • Daily user of AI development tools such as Claude Code, Copilot, or Codex

Nice to Have

  • Go or Rust development experience
  • Experience modernizing SDLC processes with AI agents
  • LangChain, LlamaIndex, CrewAI, MCP, or agent orchestration frameworks
  • Kubernetes and cloud platforms (AWS, Azure, or GCP)

Skills

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