Agent Systems Engineer – AI Model Routing Startup RnB Consultancy

Abundant Code

San Francisco (CA)

On-site

USD 180,000 - 300,000

Full time

9 days ago

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Benefits offered by this job

Broad ownership in a small team
Relocation support
Visa sponsorship
Company apartment

Job summary

Owen Thomas B Corp is seeking an Agent Systems Engineer for our San Francisco team. You will own the lifecycle of AI agents, including execution, memory, tool use, and integrations, focusing on reliability, observability, and secure operations.

You’ll collaborate with customers on-site worldwide, gaining broad ownership in a small, fast-paced startup environment and contributing to a world-class model routing platform.

Qualifications

  • Solid software engineering fundamentals with production deployment experience.
  • At least 1 year of hands-on work on AI or agent systems.
  • Startup-level ownership and pace, capable of rapid delivery.

Responsibilities

  • Own agent execution, memory, skills and tool use.
  • Own integrations, infrastructure and customer interfaces.
  • Ensure reliability through evals, observability and failure handling.
  • Work on-site with customers worldwide as needed.

Skills

Software engineering fundamentals
AI/agent systems
Startup ownership

Tools

TypeScript
Node.js

Job description

Agent Systems Engineer – AI Model Routing Startup Overview

You’ve shipped AI agents to production and made them reliable. Own the whole agent lifecycle at a fast-growing AI startup. A seed-stage AI startup in San Francisco helps companies control their own AI: a model router across hundreds of models, hosted anywhere, plus AI agents that carry out real business tasks, like paying an invoice. Around 100 customers worldwide use it. You’ll own a wide part of how agents work: how they run, remember and use tools and models, how they connect to other systems, the infrastructure underneath and the product on top, always with reliability, monitoring and security in mind. They’re hiring 3 engineers.

What you’ll own

  • Agent execution, memory, skills and tool use
  • Integrations, infrastructure and the interfaces customers use
  • Reliability: evals, observability and failure handling
  • On-site work with customers around the world, sometimes for a week

Must-haves

  • Strong software engineering fundamentals and a track record of shipping production software (leaning on AI-assisted coding without understanding the infrastructure won’t fit)
  • At least 1 year of hands-on work on AI or agent systems
  • Startup-level ownership and pace (mostly big-company experience won’t fit)
  • Working from the San Francisco office five days a week, 9-9-6, sometimes including weekends, and happy to go on site at customers anywhere in the world

Bonus points

  • TypeScript or Node.js, integrations, evals, agent memory or runtimes
  • Software you deployed inside customer environments
  • Founder experience or a deep area you can teach; non-traditional paths are welcome

What’s in it for you

  • $180k–$300k base + 0.1–0.5% equity
  • Broad ownership in a small team with real customers
  • A company apartment and relocation support
  • Visa sponsorship available (including F-1, H-1B, O-1 and TN)

Good to know

Full-time, on-site in San Francisco, 9-9-6

Process:

  1. intro call
  2. technical interview
  3. take-home with a follow-up session
  4. 3–4 hour working session on site
  5. offer
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