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ComposioComposioSan Francisco, CA

Forward Deployed Research Engineer

Forward Deployed Research Engineer embedded with enterprise customers to turn large APIs into agent-usable tools, ship production code, build evals, and own accounts end-to-end at an AI infrastructure startup.

Salary not listed
On-siteSolutions Architecture

About the role

Responsibilities

  • Own enterprise accounts end to end: discovery, spec, implementation, QA, release.
  • Ship production code in our toolkit monorepo and customer SDKs: custom and composite tools, schema and scope changes, per-customer patches.
  • Turn large enterprise APIs into agent-usable tool surfaces, and build the evals that prove the model picks the right tool.
  • QA toolkits, and build the harnesses that make QA repeatable instead of artisanal.
  • Run weekly customer syncs: the summaries, ETAs, and escalations that keep an engagement coherent.
  • Operate per-customer tool-patching as self-service, not escalation.
  • Dogfood Composio on your own workflows.

Requirements

  • Applied integration engineering: ship production code, live in enterprise APIs and auth (OAuth 2.0, consent models, scope design, multi workspace tokens).
  • Customer technical ownership: taken a named enterprise account from first call to live; turn vague asks into specs and push back when wrong.
  • AI native: built with and for language models; treat the agent-tool interface as an open research problem.
  • Taste for good developer experience.
  • Explain complex ideas clearly under deadline.
  • Build trust and admit what you don't know.

Nice-to-Haves

  • Years of Python in production (TypeScript a plus).
  • API platform, iPaaS, or integration-heavy background.
  • Prior FDE / solutions-architect role selling to big tech.
  • Frontier output: MCP servers, tool-use evals, agent-tooling writeups.

Skills

PythonTypeScriptOauth 2.0Enterprise ApisIntegration EngineeringAgent ToolingEvalsAPI DesignSdk Development
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