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  • Composio

    Member of Technical Staff - Research Engineer

    Composio · 🇺🇸 San Francisco, CA · posted today
    ApplyFull posting

    Extracted from the posting

    Base
    Not stated
    Remote
    On-site
    Funding
    $25M Series A, Lightspeed
    Stack
    TypeScript, Python, MCP, Helm (company stack)

    TL;DR

    Builds large evals using real tool-calling data to measure where models fail in long-horizon tool execution. Works on semantic search for similar tools and cached tool execution plans, and trains agentic harness systems using SFT on agentic traces and RL on top of the harness and app sandboxes. Works with product and engineering teams to move research into production.

    About Composio →

    The full posting

    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 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.


    What you'll do?

    • 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.


    "Must haves"

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

    • researchyou can independently execute against the research goals you can prototype and test experiments very quicklyyou 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