Build generative AI applications in Toronto as a Senior Applied AI Engineer focused on LLMs, code generation, and agentic systems. Bloomberg’s Applied AI Engineers bridge pioneering research and production across financial query understanding, structured data, and customer-facing products. The work includes state-of-the-art code generation, agent systems, evaluation loops, and model refinement using techniques such as CoT, SFT, or RLHF. Key Responsibilities:

Build models and agents answering complex financial questions Write and execute code within agentic systems Develop evaluation loops for system accuracy Apply LLM techniques for iterative model refinement Document product and research findings Requirements:

Relevant doctoral, master’s, or bachelor’s education and experience Hands-on LLM application development experience Experience with retrieval-augmented generation and model evaluation Develop agentic harnesses or orchestration frameworks Manage routing, memory, workflows, guardrails, tracing, and retries Use LLM application development, agent orchestration, and evaluation expertise to advance Bloomberg’s financial AI products in Toronto.

📌 Senior Generative AI Engineer Toronto (Winnipeg)
🏢 Bloomberg
📍 Winnipeg