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KelAI

Applied AI Engineer

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Description

What You’ll Do

  • 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

What We’re Looking For

  • 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

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See also

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