Agent Harness Research Engineer
Core
Designing and building core modules (Prompt, Tool Calling, Memory, Workflow Orchestration) for AI Agent applications to support quantitative research teams.
Role type
Research Engineer (AI Agents & Quantitative Research)
Builds
Reusable AI Agent workflows for data analysis, feature generation, signal validation, and report generation.
Domain
Quantitative Investment / AI Research
Deliverable
production ML models | product features
Required skills
AI Agent development, large model applications, automation workflows, Prompt Engineering, Tool Calling, RAG, Workflow Orchestration, coding, problem-solving
Preferred skills
Experience with AI Research Assistant systems, data analysis platforms
Technologies
AI frameworks, internal platforms
Responsibilities
Design and develop Agent Harness systems for vectorized research environments; Convert research tasks into reusable agent workflows; Conduct technology research and prototype validation; Implement innovative AI solutions to enhance research efficiency.
Seniority
Mid-level, hands-on IC