AI Systems Engineer
Hybrid · Calgary, Alberta, Canada
Job Summary
AI Systems Engineer role focusing on designing, building, and deploying agentic AI tools and workflows for internal use and end users in a fast-moving startup. Hybrid work arrangement from the Southeast Calgary office (3 days/week). Responsibilities include production deployment and operations of AI systems, monitoring and incident response, collaboration with AI/ML and Infra/DevOps teams, and delivering tooling for farmers and agricultural operators using orchestration frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen). Must have hands-on experience with agentic AI systems or strong software fundamentals with AI passion; proficiency in Python, APIs, cloud platforms (AWS), and containerized deployment (Docker). Open to candidates who thrive in ambiguous, startup environments and who can ship production-grade AI products.
Required Qualifications
- Hands-on experience building and deploying agentic AI systems (LLM-based agents, tool use, multi-step reasoning pipelines, RAG, orchestration frameworks) in production environments — or — strong software engineering fundamentals with demonstrated passion for AI and agents.
- Proficiency in Python and modern AI/ML libraries; experience designing and consuming APIs in production contexts.
- Familiarity with model deployment, prompt engineering, evaluation, and monitoring in real-world applications.
- Experience working with cloud platforms (AWS preferred) and containerized (Docker) application deployment.
Apply with one swipe on Sorce. We auto-fill applications and apply on your behalf — no cover letters, no 40-minute forms.
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.