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

Open nowPosted 361 days ago

AI Platform Engineer, Backend Capabilities

Brain Co.40 open roles

Where
San Francisco Bay Area
Work mode
Hybrid
Get the CV for this job

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

Your applicationOpen nowAI Platform Engineer, Backend CapabilitiesBrain Co. · San Francisco Bay Area

  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 Brain Co.'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.

12.1% of postings close within 7 days. Measured by our own scanner across the market. Brain Co. postings stay open a median of 43 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 361 days ago

Brain Co. median: 43 days open

The posting

OUR MISSION

Rebuild how the world works, to make institutions work better for the people they serve.

ABOUT BRAIN CO.

Brain Co. builds AI-native operating systems for large, regulated institutions. Each system is built for a specific industry, powered by agents that push real workflows forward. Underneath it all is Atlas, our proprietary platform that keeps customers in control, secure by design, and never locked into one model.

WHY NOW

Brain Co. is entering its next phase of production deployments on a national scale with an elite team built from Palantir, Google, Meta, and Nvidia, and a growing footprint across government, insurance, health, and financial services.

Joining now means shaping both the company and a new category of applied AI. Every project here ships to production and is expected to create measurable customer value and impact.

You'll work alongside exceptional peers on some of the hardest problems in applied AI. It’s the kind of work you'll still be proud of in ten years from now.

ABOUT THE ROLE:

As an AI Platform Engineer at Brain Co., you will build the shared backend services and technical capabilities that help us scale our AI products quickly, safely, and reliably. You will take ambiguous product and technical challenges, turn them into clear system designs, and ship robust platforms that support real-world AI applications for the world’s most important institutions. You will own backend services from design through production, working closely with teams across Product, ML, and Infrastructure on system design and technical tradeoffs.

WHAT YOU’LL WORK ON:

- Design, build, and operate the platform backend services and data pipelines that power Brain Co.'s AI products. You will own the full lifecycle: from initial architecture and implementation to deployment and long-term maintenance.

- Build the critical systems that accelerate our AI product development. This includes designing scalable solutions for ML experiment tracking, artifact management, and automated training and evaluation pipelines.

- Engineer highly available, fault-tolerant systems with deep observability. Your architectures must be robust enough to meet the strict uptime and latency SLAs demanded by our enterprise and government clients.

- Design modular and scalable architectures, clean APIs (REST, gRPC), and event-driven services with a long-term platform mindset. Continuously profile systems to optimize for latency, throughput, and costs.

- Partner with Product, ML, Infrastructure, and customer-facing teams to build shared platform capabilities that remove bottlenecks and reduce the time it takes to ship new AI products to our clients.

YOU MIGHT BE A GREAT FIT IF YOU

- You bring 2+ years of experience building and scaling production backend services or platforms, with strong proficiency in Python, Go, Rust, TypeScript, C++, or similar languages.

- You understand what happens under the hood. You have strong fundamentals in distributed systems, including consistency, availability, failure modes, retries, and idempotency.

- You excel at breaking down complex, open-ended problems into clear technical designs, moving from first principles to production-ready systems with both speed and rigor.

- You treat our internal ML and product teams as your primary customers. You have experience building shared infrastructure, internal platforms, or developer-facing services, with a focus on intuitive, well-documented APIs that help these teams build and ship effectively.

- You have a track record of owning services with real uptime expectations. You design for observability from day one, using metrics, logging, and tracing, and take responsibility for incident response and on-call support for the systems you build.

- You treat the platform as your own. You care about the end-to-end lifecycle of your systems and make pragmatic tradeoffs between immediate product needs and long-term platform health.

BONUS POINTS FOR:

- Experience with AI/ML platforms or inference systems, including integrating or managing ML experiment tracking, artifact management, and model registries (e.g., Weights & Biases, MLflow, ClearML) or orchestrators (e.g., Ray, Flyte, Kubeflow).

- Experience designing and operating high-throughput data pipelines and resilient asynchronous workflows using durable execution engines (e.g., Temporal), streaming platforms (e.g., Kafka), or distributed compute frameworks (e.g., Spark, Flink).

- Familiarity with Kubernetes, cloud-native service deployment, or multi-tenant architectures.

- Experience navigating strict compliance frameworks (e.g., SOC2, FedRAMP) or building systems for highly regulated, air-gapped, or on-premise environments.

WHY JOIN US:

- Work alongside senior engineers from Tesla, DeepMind, Databricks, and other top engineering orgs.

- Ship fast, learn constantly, and see your work protect production systems used by millions.

- Earn competitive compensation and meaningful equity in a high-growth company.

BENEFITS

- Competitive salary plus equity

- Daily lunches

- Commuter benefits

- 401(k)

- Medical, Dental, and Vision

- Unlimited PTO

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 Brain Co.'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 Brain Co.'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

    Brain Co.'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.