The roleAs an AI platform engineer, you'll build the products, interfaces, and tools that define how people interact with Applied Compute's agents. 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 platform research engineers to integrate new platform capabilities like memory, context, and browser automation 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
- Integrate new platform capabilities like memory, context, and browser automation
- 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
- 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
- Familiarity with LLM-powered applications and agent architectures
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 & LogisticsThis role is based in San Francisco. We work from our office in the Mission. We offer:
- Competitive compensation and equity
- 100% employer-paid health insurance coverage
- Unlimited PTO
- Paid parental leave
- Daily lunches and dinners
- Transportation and relocation support
- Retirement plans
We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the process with you. We encourage you to apply even if you do not believe you meet every single qualification.