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AI Platform Backend. Engineer, Capabilities

Brain

🌍 North America 🏠 Remote ⏱ Part-time 💼 Mid-level 🗓 2 weeks ago

ABOUT BRAIN CO.

Brain Co. is an applied AI startup co-founded by Jared Kushner and Elad Gil, and backed by leading Silicon Valley builders including Patrick Collison and Andrej Karpathy.
We are building AI applications for the world’s most important institutions, delivering impact on real-world problems across governments, healthcare systems, and critical industries.

Our progress so far:

- Automated construction permitting for a sovereign government → 80% faster, unlocking $375M+ in value

- Optimized supply chains for a leading global energy company → 30% lower cost, 99% reliability, preventing $100M+ in losses

- Streamlined hospital patient care across national health systems → 40% better outcomes, 80% less admin work

Company momentum:

- Raised a $55M Series A from leading investors

- Built a team of 70+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks

 

At Brain Co., we focus on applying frontier AI to real institutional challenges, working alongside governments, healthcare systems, and critical industries to modernize how essential services operate.

 

We are looking for leaders who want to help bring new technology into institutions that impact millions of people.

 

ABOUT THE ROLE:

As a core backend engineer at Brain Co., you will build the shared 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. If you are driven by high-stakes engineering and thrive on delivering systems built for uncompromising reliability, this is the exact opportunity for you.

 

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-t...

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