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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Applied Researcher - Agentic AI Systems - Associate - **Company:** JPMorgan Chase & Co. - **Location:** New York, United States - **Contract:** Permanent contract - **Skills:** Python (Programming Language), Machine Learning, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Information Technology, Production Code, Software Coding - **Published:** June 6, 2026 - **Apply:** https://www.dice.com/job-detail/5a670f02-bf8d-4cff-9ae3-60c6a07f6d59 ## About the Role * Strong coding skills (Python preferred) and comfort owning production code * Advanced degree in Computer Science, Data Science, Machine Learning, or related field. * Hands-on experience building with LLMs (agent frameworks, tool use, RAG, prompt engineering, evals) * Strong understanding of modern GenAI capabilities, failure modes, and practical mitigation strategies * Demonstrated applied research track record delivering ML/AI systems that moved a real business or user metric * Ability to explain technical tradeoffs to non-technical stakeholders and write clearly * Bias to action; comfortable working in ambiguity with rapidly evolving requirements * Strong ownership mindset with a focus on improving what's broken without waiting for permission Preferred qualifications, capabilities, and skills * Experience with Equity Derivatives and Pricing * Familiarity with evaluation frameworks, LLM observability, or fine-tuning open-weight models * Experience scaling an agentic prototype into a production system used by real users * Experience designing and operating monitoring/QA processes for LLM outputs (quality, safety, reliability) ## Description As an Associate Applied Researcher in the Quantitative Trading & Research (QTR) Team, you'll sit at the intersection of applied research and production engineering turning frontier GenAI capabilities into reliable, high-leverage agentic systems that transform how we respond to inbound client requests., * 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, J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. 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