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
🏢 Bloomberg
📍 Toronto