AI Platform Engineer

The role As 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. About us Applied Compute builds Specific Intelligence for the enterprise. We provide the continual learning infrastructure for companies to build agent workforces trained on proprietary data and institutional expertise. Our researchers and platform embed directly within customer environments to build custom evals, train models, and deploy agents that get better with use. Why we’re excited: We get to work at a rare intersection. Our platform team builds the platform powering a new generation of digital coworkers. Our research team pushes the frontier of post-training and reinforcement learning. Our applied AI team sits side-by-side with customers as they ship agents into production. This combination of strong product, deep research, and boots on the ground is what we believe it takes to bring AI to the enterprise. We are product-led, research-enabled, and forward-deployed. Who we are: We’re a team of engineers, researchers, and operators. Many of us are former founders. We've built RL infrastructure at OpenAI, data foundations at Scale AI, and systems at Together, Two Sigma, Watershed, and others. We work with F50 customers and are fortunate to be backed by partners like Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks. Who Thrives Here: We're looking for people who are excited about applying novel research and complex systems to real-world problems. Our team genuinely enjoys working with customers: listening, empathizing, and understanding how work actually gets done in their organizations. Former founders, people who've built a lot of side projects, or anyone who's shown they can own something end-to-end, tend to do well here. Benefits & Logistics This 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. As set forth in Applied Compute’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.