Founding Full-Stack Engineer — AI Security Platform

Thomas Talent Network

San Francisco (CA)

On-site

USD 200,000 - 300,000

Full time

14 days+
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Job summary

Confidential client in San Francisco, CA seeks a backend-focused founding engineer to own the product end-to-end. You will build the workflow engine for long-running human and agent work, design identity and authorization, and develop a versioned policy engine with secure storage for keys and tokens.

This is a systems-heavy role requiring ownership of measurements, auditing, and secure execution boundaries, with hands-on development of isolated environments for agents and production interfaces.

Qualifications

  • 4+ years of experience in backend or systems engineering.

Responsibilities

  • Build the workflow engine for long-running human and agent work (durable state, retries, idempotency, approvals, replay, compensation, auditability).
  • Design identity and authorization for humans, services, and agents: principals, delegation, scoped sessions, tenant isolation, traceable authority.
  • Develop a versioned policy engine (who/what can do which action on which resource under what context).
  • Secure storage and use of customer keys, OAuth tokens, and admin credentials: isolation, rotation, episodic injection, revocation, blast-radius containment.
  • Bridge probabilistic model behavior and deterministic execution (validation, evals, release gates).
  • Create isolated virtual environments and dev boxes for agents: reproducible state, observability, resource controls, safe teardown.

Job description

Confidential client in San Francisco, CA seeks a backend-focused founding engineer to own the product end-to-end. You will build the workflow engine for long-running human and agent work, design identity and authorization, and develop a versioned policy engine with secure storage for keys and tokens.

This is a systems-heavy role requiring ownership of measurements, auditing, and secure execution boundaries, with hands-on development of isolated environments for agents and production interfaces.

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