Drimva

Composio

Member of Technical Staff - Research Engineer

sf · On-site · Staff · Full-time · Posted Feb 10, 2026

About the job

Develop agent infrastructure by evaluating and improving models’ long-horizon tool execution, tool and plan search, and agentic systems.

What you'll do

  • Build evaluations using real tool-calling data to measure model performance in long-horizon tool execution.
  • Develop search for semantically similar tools and cached execution paths and plans.
  • Train agentic harnesses and improve them through supervised fine-tuning and reinforcement learning on agentic traces and app sandboxes.

What they ask for

  • Independently execute research goals and prototype and test experiments quickly.
  • Work with product and engineering teams to move research ideas into production quickly.
  • Write documentation well and explain complex ideas clearly.
  • Build trust and acknowledge what you do not know.

AI focus

Research and improve AI agents’ tool execution through evaluations, semantic search, agentic harness training, supervised fine-tuning, and reinforcement learning.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 6, 2026 (UTC)