Hiring: AI Platform Engineer, Backend Company: Brain Co. Location: San Francisco Bay Area Job Posted Time: 2026-09-09 18:03:52 Target Skills & Keywords : Cloud Native, Databricks, Event-Driven, Go, Kind, Kubernetes, Make, Python, REST, Rust, TypeScript, gRPC About the job Experience: •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. Required Skills: •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. •What You'll Work 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. •Ways You Might Stand Out •Experience with AI/ML platforms, inference systems, or data-intensive pipelines. •Familiarity with Kubernetes and cloud-native service deployment. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!