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 (Toronto)
🏢 Brunel
📍 Toronto