Backend Systems Engineer — AI Agents & Scalable APIs

Zof AI

San Francisco, Northern (CA, KY)

Hybrid

USD 120,000 - 190,000

Full time

14 days+
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Job summary

Zof AI is seeking a Backend Software Engineer to own the services, APIs, and data layer that our agent fleets run on. You will own job orchestration, queueing for long-running agent runs, and Postgres schema and query performance.

This role also covers storage for evidence and traces, with a focus on observability and reliability. The ideal candidate writes clear, well-tested services and balances throughput, correctness, and cost in a fast-moving, on-site environment in San Francisco.

Qualifications

  • Experience building and shipping backend services in production.
  • Strong software engineering foundation.
  • Familiarity with relational databases and SQL, ideally Postgres.

Responsibilities

  • Design, build, and operate the services and APIs our agent fleets run on.
  • Build the job orchestration and queueing that keeps long-running agent work moving.
  • Own Postgres schema design, migrations, and query performance as data grows.
  • Ship the storage and retrieval paths for the evidence and traces every agent run produces.
  • Instrument services so failures are observable, debuggable, and recoverable.
  • Harden reliability with testing, retries, idempotency, and backpressure under real load.
  • Partner with product and AI engineers to turn agent behavior into stable interfaces.
  • Own backend systems from design through production.

Skills

Backend development
SQL/PostgreSQL
APIs
Queues / async processing
Testing
Clear communication
Distributed systems mindset

Tools

PostgreSQL
Node.js
TypeScript
Python

Job description

Zof AI is seeking a Backend Software Engineer to own the services, APIs, and data layer that our agent fleets run on. You will own job orchestration, queueing for long-running agent runs, and Postgres schema and query performance.

This role also covers storage for evidence and traces, with a focus on observability and reliability. The ideal candidate writes clear, well-tested services and balances throughput, correctness, and cost in a fast-moving, on-site environment in San Francisco.

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