AI Product Engineer

Department: Platform

Location: San Francisco

Employment Type: FullTime

WHO WE ARE

We build Specific Intelligence for the enterprise: agents that continuously learn from a company's processes, data, expertise, and goals. We're building the continual learning layer and platform that captures context, memory, and decision traces across the enterprise, providing an environment where specialized agents learn how to do real work.

Why we're excited: We get to work at a rare intersection. Our product team builds the platform powering a new generation of digital coworkers. Our research team pushes the frontier of post-training and reinforcement learning to create new product experiences. Our applied research engineers sit 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.

Our Team: We are 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 other teams. We work with F50 customers, and we’re fortunate to be backed by Kleiner Perkins, Benchmark, Sequoia, Lux, Greenoaks, and others.

Who Thrives Here: We're looking for people who are excited about applying novel research and complex systems to real-world problems. You should be comfortable navigating unfamiliar environments quickly, whether that's a new codebase, a new customer's data architecture, or a problem domain you've never seen before. 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.

THE ROLE

As an AI product engineer, you'll be the bridge between our cutting-edge continual learning research and the platform features that make Applied Compute's agents differentiated. You'll own core engineering problems at the intersection of AI and systems, such as the memory system that learns from production traces and company data, the agent harness that orchestrates model interactions, and the evaluation frameworks that measure whether it's all actually working.

What You'll Do

• Build the agent system that processes production traces and company data

• Own the agent harness and orchestration layer

• Build evaluation and benchmarking infrastructure

• Work closely with research scientists to translate RL and continual learning breakthroughs into production-ready platform features

What We're Looking For

• Strong software engineering fundamentals with the ability to architect complex multi-stage systems

• Experience building systems that involve LLMs in production: prompt engineering, structured outputs, RAG, or agent frameworks

• Comfort with data-intensive backend work: Postgres, vector databases, git internals, Temporal workflows

• Strong experimental design skills: you know how to build evaluations that actually answer questions about system quality

• Ability to read and translate research papers and prototypes into shippable engineering

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

BENEFITS + LOGISTICS

This role is based in San Francisco. We work in-person at our office in the Design District.

We offer competitive compensation and equity, generous health benefits, unlimited PTO, paid parental leave, daily lunches and dinners, transportation, retirement plans, and relocation support. 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.