Brainco

AI Platform Engineer, Capabilities

San Francisco Bay Area · Senior

Sponsorship not specifiedDetected 78 days ago

PythonGoRustC++Backend DevelopmentDatabricksPlatform EngineeringTemporalRESTgRPCKafkaMachine LearningSparkData EngineeringComplianceExcelPatient Care

About the role

If you are driven by high-stakes engineering and thrive on delivering systems built for uncompromising reliability, this is the exact opportunity for you.
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.

Design, build, and operate the platform backend services and data pipelines that power Brain Co.'s AI products.
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.
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.
You design for observability from day one and aren't afraid of on-call responsibilities for the systems you build.
You treat the platform as your own. You care about the end-to-end lifecycle of your systems.

Your architectures must be robust enough to meet the strict uptime and latency SLAs demanded by our enterprise and government clients.

You have integrated or managed standard ML experiment tracking, artifact management, and model registries (e.g., Weights & Biases, MLflow, ClearML) or orchestrators (e.g., Ray, Flyte, Kubeflow).
You have navigated strict compliance frameworks (e.g., SOC2, FedRAMP) or built systems specifically for highly regulated, air-gapped, or on-premise environments.
You bring 3+ years of experience building and scaling production backend services or platforms, ideally using languages common in the AI/Data ecosystem (e.g., Python, Go, Rust, or C++).
You don't just use frameworks
you understand what happens under the hood.
You have a deep grasp of consistency, availability, distributed failure modes, and idempotency.
You have a track record of owning services with real uptime expectations.
You care about the end-to-end lifecycle of your systems.

Competitive salary plus equity
Commuter benefits
Medical, Dental, and Vision
Earn competitive compensation and meaningful equity in a high-growth company.
Streamlined hospital patient care across national health systems → 40% better outcomes, 80% less admin work

Raised a $55M Series A from leading investors
Built a team of 70+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks
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.

This listing is sourced directly from Brainco's careers page and normalized into a canonical job model.