AI Platform Engineer

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 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 shipp [... source excerpt omitted ...] artup, 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 t [... source excerpt omitted ...] tform 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 fo