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 outputs
Extend MCP servers and APIs for HR and payroll knowledge
Host containerized agents with Azure identity, logging, and secrets
Build retrieval using embeddings, hybrid search, and re-ranking




Integrate outputs with Azure DevOps and Microsoft 365 agents
Requirements: Five-plus years producing Python code on shared codebases
Twelve-plus months shipping LLM applications with major model APIs
Experience with agentic systems, MCP, tools, memory, and approval gates
Knowledge of RAG, evaluation metrics, regression suites, and backend hosting
Reliability Status held or obtainable for Government of Canada data
Apply agentic systems, Python, retrieval, evaluation, and Azure hosting to Brunel’s HR and payroll automation programme.

#J-18808-Ljbffr

📌 Agentic AI Engineer Azure Automation (Ontario)
🏢 Brunel
📍 Ontario