Job 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

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About KELAI

For decades, finance has been a race to know first. The first traders belonged to the floor; then came quant teams building infrastructure to interpret markets systematically. In the era of AI, as the boundary between human and machine intelligence dissolves, KelAI brings finance into cognitive interpretation at scale. Our autonomous agents read every market move, formulate systematic investment insights and compound knowledge at market speed. Compounding intelligence, trade by trade.

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