AI Platform Engineer, Backend

AI Platform Engineer, Backend 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. WHAT YOU’LL DO OWN CORE BACKEND & PLATFORM SYSTEMS - Design, build, and operate foundational backend services and data pipelines that power Brain Co.’s AI platform. - Take end-to-end ownership: architecture, implementation, deployment, and long-term maintenance. DESIGN FOR SCALE, RELIABILITY, AND CORRECTNESS - Build systems with strong guarantees around correctness, fault tolerance, and observability. - Design for real uptime expectations in enterprise and government environments. ARCHITECTURE & APIS - Design modular, reusable backend architectures and APIs (REST, gRPC, event-driven). - Make sound architectural tradeoffs with a long-term platform mindset. SOLVE AMBIGUOUS SYSTEMS PROBLEMS - Break down open-ended, complex problems into clear technical designs. - Move from first principles to production-ready systems with speed and rigor. OPTIMIZE PERFORMANCE AND COST - Improve latency, throughput, and cost efficiency through profiling, thoughtful system design, and iteration. COLLABORATE ACROSS FUNCTIONS - Work closely with Product, ML, Infrastructure, and customer-facing teams. - Enable others by building systems that are intuitive, reliable, and developer-friendly. WHAT WE’RE LOOKING FOR BACKEND & DISTRIBUTED SYSTEMS EXPERIENCE - 5+ years of experience building backend systems or platforms in production. - Strong fundamentals in distributed systems (consistency, availability, failure modes, retries, idempotency). - Deep proficiency in at least one backend language (Go, Typescript,, Rust, Python, or similar). - Experience designing, operating, and evolving APIs and services at scale. SYSTEM DESIGN & PLATFORM MINDSET - Proven ability to design systems from first principles. - Experience building shared infrastructure, internal platforms, or developer-facing services. - Strong intuition for developer experience and long-term maintainability. PRODUCTION & RELIABILITY - Experience owning services with real uptime and operational responsibility. - Familiarity with observability tooling (metrics, logging, tracing) and incident response. WAYS YOU MIGHT STAND OUT - 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. WHY THIS ROLE MATTERS Your work will directly shape how AI systems are built, deployed, and trusted in some of the most impactful environments in the world. You’ll help turn cutting-edge AI capabilities into reliable systems that governments and enterprises can actually depend on. BENEFITS - Competitive salary plus equity - Medical, Dental, and Vision covera ... (truncated, view full listing at source)