Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 79 days ago

AI Platform Engineer

Applied Compute13 open roles

Pay
$190,000 – $310,000 a year
Where
San Francisco
Work mode
On site
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowAI Platform EngineerApplied Compute · San Francisco

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Applied Compute's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market. Applied Compute postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.5%14 days
  5. 35.5%30 days
  6. 45.1%60 days
This job: posted 79 days ago

Applied Compute median: 1 days open

The posting

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 https://www.appliedcompute.com/platform/introducing-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.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Applied Compute's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Applied Compute's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Applied Compute's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.