AI Platform Engineer

About the role

THE ROLE

As an AI platform engineer, you'll build the products, interfaces, and tools that accelerate frontier research for Applied Compute’s customers. You'll own the full stack of our application platform including the system that powers collaborative human-AI workspaces, the backend workflows that orchestrate sandboxed agent sessions, and the SDK that gives engineers control and visibility over the entire agent development lifecycle. You'll work closely with product research engineers to integrate new platform capabilities like memory, context, and auto-research into polished user experiences, and with applied research engineers to build for customer deployments and upstream learnings back into the platform.

What You'll Do

- Own the full stack of our platform, AC2 https://www.appliedcompute.com/platform/introducing-ac2

- Integrate new platform capabilities like memory, context, and auto-research

- Design new interfaces for interacting with agents, including the platform console, dashboards, resource management views, and observability UIs

- Build tools that allow subject matter experts to capture and communicate their workflows

- Develop the AC SDK that internal and customer-facing engineers use to build domain-specific agents and applications

- Build the agent sandboxing UX and deployment surfaces that let agents operate across different environments

What We're Looking For

- Strong full-stack engineering skills with experience shipping production web applications

- Deep familiarity with LLM-powered applications and agent architectures

- Extremely creative and open to prototyping: you love putting together a demo and showing people what's possible

- You care deeply about what the user actually experiences and think carefully about who the user is before you build

- Experience with both real-time and asynchronous systems

- Ability to build and iterate on polished, functional applications quickly with high engineering craft

Strong Candidates Also Have

- Experience with reinforcement learning from human feedback or similar human-in-the-loop learning systems

- Previous experience as a founder or early engineer at a zero-to-one company

- Published work or open-source contributions in AI/ML systems

The U.S. base salary range for this full-time position is $190,000–$310,000. Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a comprehensive benefits package designed to support you both personally and professionally. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.

BENEFITS & LOGISTICS

This role is based in San Francisco. We work from our office in the Mission. We offer: