Applied AI Researcher - GenAI Agents for Trading

JPMorgan Chase & Co.; New York (NY); On-site; USD 150,000 - 210,000; Full time

Job summary

JPMorgan Chase & Co. seeks an Associate Applied Researcher in the Quantitative Trading & Research team to turn frontier GenAI capabilities into reliable agentic systems that transform how we respond to inbound client requests.

You will design and productionize multi-step LLM agents, collaborate across sales, quant research, trading, and product, and own end-to-end development from framing to deployment.

Qualifications

• Strong coding skills (Python preferred) and comfort owning production code.
• Advanced degree in CS, DS, ML, or related field.
• Hands-on experience building with LLMs (agent frameworks, tool use, RAG, prompt engineering, evals).
• Strong understanding of GenAI capabilities, failure modes, and practical mitigation strategies.
• Ability to explain technical tradeoffs to non-technical stakeholders and write clearly.
• Bias to action; comfortable working in ambiguity with rapidly evolving requirements.

Responsibilities

• Build agentic systems end-to-end: design, prototype, and productionize multi-step LLM agents that retrieve context and generate accurate, well-structured responses.
• Drive applied research by evaluating emerging techniques (tool use, planning, retrieval, evaluation frameworks, fine-tuning, prompt optimization) and integrating the best into production.
• Own the full loop from problem framing and dataset construction through model/agent design, evaluation, deployment, and monitoring.
• Improve quality systematically via evals, error analysis, and feedback loops that convert subjective issues into measurable fixes.
• Partner cross-functionally with sales, quant research, trading, product, and engineering to deeply understand RFQ/client workflows and ship adopted solutions.
• Build and maintain production-grade code and systems that are observable, robust, and scalable.
• Contribute to technical direction and standards for agent design, evaluation, and safe deployment.

Skills

Python

Production code

LLM agent frameworks

Explain tradeoffs

Ambiguity tolerance

Education

Advanced degree in CS/DS/ML

Tools

LLM observability

RAG

Open-weight models

Job description

JPMorgan Chase & Co. seeks an Associate Applied Researcher in the Quantitative Trading & Research team to turn frontier GenAI capabilities into reliable agentic systems that transform how we respond to inbound client requests.

You will design and productionize multi-step LLM agents, collaborate across sales, quant research, trading, and product, and own end-to-end development from framing to deployment.