System Soft Technologies
Software Engineer (Agentic AI)
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.
- Compensation
- Not disclosed
- Location
- Montréal, Canada
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 5+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 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
- Develop scalable backend services using Python
- Must be a Canadian Permanent Resident (PR)
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)
Full description
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)