AI Platform Engineer
At a glance
Mid-level ML Platform & Ops role at Applied Compute. San Francisco · full-time · $190,000–$310,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Build across AC2, including collaborative human-AI workspaces, agent-session workflows, and the engineer SDK
- Add memory, context, and auto-research capabilities to user-facing platform experiences
- Create agent interfaces such as the console, dashboards, resource views, and observability screens
- Give subject matter experts tools to record and share their workflows
- Develop sandboxing and deployment experiences for agents working across different environments
What you bring
- Strong full-stack skills and a track record of shipping production web applications
- Deep knowledge of LLM applications and agent architectures
- Experience with both real-time and asynchronous systems
Who this fits
This role suits a full-stack engineer who cares about user experience, prototypes quickly, and can deliver polished applications with strong engineering craft. You’ll work from the Mission office in San Francisco. Visa sponsorship is available, and relocation support is offered.
From the employer
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 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.
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 product 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 for you and your family
Unlimited PTO
Paid parental leave
Daily lunches and dinners
Transportation and relocation support
5% 401k match
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.