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 questionsWrite and execute code within agentic systemsDevelop evaluation loops for system accuracyApply LLM techniques for iterative model refinementDocument product and research findingsRequirements:
Relevant doctoral, master’s, or bachelor’s education and experienceHands-on LLM application development experienceExperience with retrieval-augmented generation and model evaluationDevelop agentic harnesses or orchestration frameworksManage routing, memory, workflows, guardrails, tracing, and retriesUse LLM application development, agent orchestration, and evaluation expertise to advance Bloomberg’s financial AI products in Toronto.
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📌 Senior Generative Ai Engineer Toronto (Winnipeg)
🏢 Bloomberg
📍 Winnipeg