Build production LLM agents with Python and retrieval-augmented generation at Thomson Reuters in a hybrid Toronto position. Shape reliable AI for go-to-market teams.

As a Senior AI Engineer, you will design, develop, and deploy agentic applications end to end. You will create multi-step workflows, integrate enterprise systems, and guide shared engineering patterns. The work includes prompt design, tool calling, structured outputs, and human review.

Key Responsibilities:

- Design and deploy production LLM agents and multi-step workflows
- Build specialist agents that extract signals and recommend next steps
- Operate guardrails, evaluations, drift detection, and monitoring
- Integrate agents with AWS infrastructure and enterprise APIs




- Mentor engineers through technical guidance and design reviews

Requirements:

- At least two years delivering applied AI or machine learning solutions
- Production experience with RAG, prompt engineering, and tool calling
- Robust Python skills and production-grade testing practices
- Experience with AWS, Docker, CI/CD, and infrastructure as code
- SQL, data integration, and enterprise API experience

Apply your Python, AWS, and agent engineering expertise to trustworthy go-to-market AI at Thomson Reuters in Toronto.

📌 Senior Agentic AI Engineer Toronto
🏢 Thomson Reuters
📍 Toronto