AI Platform Engineer, Backend

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.

You Might Be a Great Fit If You...

- 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.

- Collaborate with industry veterans from Tesla, DeepMind, Databricks, and more

- Accelerate your career with ownership based on impact, not tenure

- Earn competitive compensation + meaningful equity in a high-growth company

- Thrive in a culture built on speed, curiosity, and impact

- Competitive salary plus equity

- Daily lunches

- Commuter benefits

- 401(k)

- Medical, Dental and Vision

- Unlimited PTO