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Applied AI Engineer

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Hybrid (New York, NY)$130k - $215kFull-timePosted 3mo ago

About the role

Engineering role focused on building autonomous AI-powered workflows for investment research and alpha discovery at KelAI, a YC-backed quant/AI startup.

Responsibilities

  • Build agentic workflows for investment research, data analysis, and alpha discovery
  • Design and run evaluations for AI agents, including reliability, reasoning quality, and task-completion benchmarks
  • Deploy AI systems into production workflows used by internal teams and institutional investors
  • Improve agent performance through prompt design, tool use, retrieval, memory, orchestration, and feedback loops
  • Work closely with quant researchers and infrastructure engineers to turn research workflows into robust AI-powered systems

Qualifications

  • 2-3 years of experience in a tech startup, AI lab, or big tech environment
  • Strong software engineering skills and experience shipping production AI systems
  • Hands-on experience with LLMs, agents, evaluations, RAG, tool-calling, or AI workflow orchestration
  • Master’s degree in computer science, AI, machine learning, engineering, or a related technical field
  • Strong ownership mindset and ability to operate in a fast-moving early-stage environment

Skills

Required:Software engineering for AI systemsLarge language models (LLMs)AI workflow orchestrationEvaluation designCollaboration with researchers/engineers
Last updated Oct 25, 2026. Interested? Apply on the company site.
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About KelAI

The AI Quant: Autonomous Alpha Engine for Funds and Traders.

Founded by former WorldQuant portfolio manager & head of event driven systematic strategies Jeremie Cohen, KelAI is building the autonomous alpha engine for hedge funds, traders and institutional investors. Investment teams now have more data, tools and compute than ever, but research still runs across siloed systems and inefficient workflows. KelAI turns that fragmented process into a compounding AI-native engine that continuously finds, tests and validates trading signals at a pace no human team can match.

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