Build production AI infrastructure in Canada using agent orchestration, retrieval-augmented generation, and evaluation frameworks. Focus on reliable, secure, scalable systems.
As an Applied AI Engineer, you will build and operate AI runtime infrastructure for production agent workflows. You will implement tool calling, RAG, grounding, and context retrieval systems. You will also develop evaluation harnesses, golden datasets, quality benchmarks, and safety controls. The work supports practical AI features for mission-critical customer workflows.
Key Responsibilities: Build and operate AI runtime and orchestration infrastructure
Implement RAG, grounding, and context-retrieval systems
Develop evaluation harnesses, datasets, and quality benchmarks
Integrate testing, quality gates,



and regression checks
Own production reliability, latency, cost, and failure management
Requirements: Production experience shipping LLM- or ML-powered software
Robust understanding of systematic AI evaluation methods
Ability to manage cost and latency as constraints
Clear communication with engineers, products, and customers
Pragmatic judgment focused on measurable customer value
Apply applied AI engineering expertise across runtime architecture, RAG, evaluation, safety, and dependable production delivery.

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📌 Production AI Infrastructure Engineer (Manitoba)
🏢 Jobgether
📍 Manitoba