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Forward Deployed Research Engineer

Job Overview

the action layer for AI agents is the least-solved part of the stack. this role works at that frontier: embedded with the customers pushing hardest, turning open research questions into tools their agents use, shipping the code yourself.

Key points

  1. Turning an 800-endpoint enterprise API into a tool surface a model can navigate. tool granularity, composite tools, description engineering…

  2. Building the evals that tell us an agent picked the right tool. the field has no good answer; your harnesses become ours.

  3. Working directly with the engineers defining what agents can do, and feeding what breaks back into the product.

  4. Own enterprise accounts end to end: discovery, spec, implementation, QA, release.

  5. If you are very good, nothing is a must per-se.

  6. You ship production code, not demos.

  7. You live in enterprise APIs and auth: OAuth 2.0, consent models, scope design, multi workspace tokens. you know the edge cases from scars.

  8. You make architecture calls under pressure and defend them to a customer's principal engineers.

Skills

PythonTypeScriptGitHubSpotSalesforce

Job type: Full-time

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