Applied AI Engineer
KelAI · US ·
- Work mode
- Onsite
- Category
- AI engineering
- Experience
- 2+ years
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