Quantitative Trading & Research - Applied Researcher – Agentic AI Systems - Associate

What you'll do

• Design, build, and deploy multi-step LLM agents that retrieve context and generate structured responses.
• Evaluate and integrate techniques such as tool use, planning, retrieval, fine-tuning, and prompt optimization; improve quality through evaluation and error analysis.
• Partner with business and technical teams to understand client workflows and deliver robust, observable production systems.

What they ask for

• Strong coding skills (Python preferred) and comfort owning production code.
• Advanced degree in Computer Science, Data Science, Machine Learning, or a related field.
• Hands-on experience building with LLMs, including agent frameworks, tool use, RAG, prompt engineering, or evaluations.
• Applied research track record delivering ML/AI systems that improved a real business or user metric.

Nice to have

• Experience with Equity Derivatives and Pricing.
• Familiarity with evaluation frameworks, LLM observability, fine-tuning open-weight models, or production monitoring/QA for LLM outputs.

Pay

$150,000.00-$200,000.00 USD base salary

Tools

Python, LLMs, RAG

AI focus

Applied research and production engineering for agentic AI systems that automate inbound client-request responses, including agent design, evaluation, deployment, monitoring, and quality improvement.