Applied AI Engineer
KelAI (P26)
New York, NY, US
Role tags
FulltimeMachine learningAI Engineer
Role overview
Key highlights
✓ 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
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
