Member of Technical Staff - Research Engineer

Role Summary

At Composio, we are building infrastructure that allows agents to communicate with the tools you use for work including Github, Gmail, Notion, Salesforce, etc. We are a small team of engineers wrangling problems from context to search, that help us provide the most capable bridge between your agents and your tools.

We raised a $25M Series A from Lightspeed https://lsvp.com/stories/investing-in-composio-building-the-backbone-of-ai-agent-intelligence/ with some incredible angels like Guillermo Rauch (CEO of Vercel), Dharmesh Shah (CTO of Hubspot), Gokul Rajaram. Beginning of this year we 3x our ARR, our customer range from your friends in the YC batch to Wabi, Glean, Zoom and many more.

Responsibilities

• build large evals with real tool calling data, measuring where models suck in long horizon tool execution
• work on search problems for finding semantically similar tools and cached tool execution paths and plans.
• train large agentic harness systems to improve session accuracy with millions of real tool calls as baseline data
• SFT on our agentic traces and RL models on top of our agentic harness and app sandboxes.

Requirements

if you are very good, nothing is a must per-se

• research
• you can independently execute against the research goals
• you can prototype and test experiments very quickly
• you can work with product and engineering teams to take research ideas to production in a matter of days
• typist — you can write docs well and explain complex ideas clearly
• human — you build trust and admit what you don’t know