Build agentic AI automation with Python and Azure for Brunel’s remote Canadian government project, working during Eastern Time hours.This contract developer role focuses on production AI engineering for HR and payroll testing. You will build agents, retrieval systems, evaluation suites, hosted services, and Microsoft integrations. The core platform is already in use, supporting requirements, test cases, staging data, and review evidence.Key Responsibilities:

Design LLM agents with tools, workflows, approvals, and structured outputsExtend MCP servers and APIs for HR and payroll knowledgeHost containerized agents with Azure identity, logging, and secretsBuild retrieval using embeddings, hybrid search,



and re-rankingIntegrate outputs with Azure DevOps and Microsoft 365 agentsRequirements:

Five-plus years producing Python code on shared codebasesTwelve-plus months shipping LLM applications with major model APIsExperience with agentic systems, MCP, tools, memory, and approval gatesKnowledge of RAG, evaluation metrics, regression suites, and backend hostingReliability Status held or obtainable for Government of Canada dataApply agentic systems, Python, retrieval, evaluation, and Azure hosting to Brunel’s HR and payroll automation programme.

📌 Agentic Ai Engineer Azure Automation (Winnipeg)
🏢 Brunel
📍 Winnipeg