AI Platform Engineer, Backend

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

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.

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.

As a Backend Engineer at Brain Co., you'll own the systems that power our AI platform end-to-end, from architecture and design to deployment and maintenance. You'll build reliable, production-grade infrastructure for enterprise and government environments, solve complex problems from first principles, and work closely with teams across Product, ML, and Infrastructure. The work is meaningful: you'll be turning cutting-edge AI into systems that some of the world's most important organizations can actually depend on.

• Own it end-to-end: architecture, implementation, deployment, and long-term maintenance.

• Build for real environments, design modular, reusable APIs (REST, gRPC, event-driven) and backend architectures that meet enterprise and government uptime expectations.

• Think in first principles, break down complex, open-ended problems into clear technical designs and ship production-ready systems with speed and rigor.

• Optimize continuously, improve latency, throughput, and cost efficiency through profiling, thoughtful system design, and iteration.

• Partner closely with Product, ML, Infrastructure, and customer-facing teams, building systems that are intuitive, reliable, and developer-friendly.

• 3+ years building production systems with strong fundamentals in distributed systems (consistency, availability, failure modes, retries, idempotency) and deep proficiency in Go, TypeScript, Rust, Python, or similar.

• Proven ability to design from first principles, with experience building shared infrastructure, internal platforms, or developer-facing services and strong intuition for DX and long-term maintainability.

• Experience owning services with real uptime responsibility, plus familiarity with observability tooling (metrics, logging, tracing) and incident response.

• Track record designing, operating, and evolving APIs and services at scale.

• Experience with AI/ML platforms, inference systems, or data-intensive pipelines.

• Familiarity with Kubernetes and cloud-native service deployment.

• Exposure to multi-tenant, regulated, or government environments.

• Experience with real-time or streaming data systems.