Join Composio as a Research Engineer to enhance agent communication with various tools in a growing startup environment.
Posted by employer 7 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 13 hours ago
Skills & Technologies
Not disclosed in this posting: compensation, years of experience, work arrangement, visa sponsorship.
Joblaze summary
In this role, the Research Engineer at Composio focuses on developing evaluation frameworks using real tool interaction data to enhance the performance of agent-based systems. Key skills include proficiency in research methodologies, rapid prototyping, and the ability to collaborate effectively with product and engineering teams to transition research into production. This position is ideal for someone with a strong background in research who can work independently and communicate complex concepts clearly. Composio is a growing company backed by notable investors, emphasizing innovation in tool integration.
Joblaze insights
- Listed 10 days ago on Joblaze — tracked directly from Composio's career page.
- Composio has 30 other open roles including Member Technical Staff - Applied AI Engineer (US Timing) , Technical Support Engineer, Founding Talent Architect.
- 5186 active AI/ML roles on Joblaze right now.
- 56 active Search roles on Joblaze right now.
- 15 active Agentic systems roles on Joblaze right now.
- Typical AI/ML salary we track runs $140,000–$230,000 (median $180,000, across 2253 roles). See AI/ML salary trends
Quick facts
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, Agentic systems, Research, Search, tool execution.
- What seniority level is this role?
- Composio targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Member of Technical Staff - Research Engineer role at Composio.
From the original 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
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