Brain Co. is building the infrastructure that turns advanced AI research into real-world impact. We work at the frontier of productionizing AI for complex, high-stakes environments—particularly in government and regulated industries where manual workflows still dominate.
Our mission is to make AI systems reliable, scalable, and dependable in the real world. That means going beyond demos and models to build robust platforms that support complex workflows, human-in-the-loop processes, and production-grade reliability at scale.
About the RoleAs an AI Platform Backend Engineer, you will own and build the core backend systems that power Brain Co.’s AI platform. This is a foundational, high-leverage role: your work enables product teams, ML engineers, and customer deployments to move faster and more safely.
You will design and operate backend services that support complex AI workflows (multi-step reasoning, tool use, human-in-the-loop processes), with a strong focus on scalability, reliability, and developer experience. You’ll take systems from early technical exploration through production deployment, often in ambiguous problem spaces where you help define the right solution.
This role offers significant autonomy and the opportunity to grow into a broader technical and organizational leadership role over time.
What You’ll DoOwn Core Backend & Platform SystemsDesign, 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.
Build systems with strong guarantees around correctness, fault tolerance, and observability.
Design for real uptime expectations in enterprise and government environments.
Design modular, reusable backend architectures and APIs (REST, gRPC, event-driven).
Make sound architectural tradeoffs with a long-term platform mindset.
Break down open-ended, complex problems into clear technical designs.
Move from first principles to production-ready systems with speed and rigor.
Improve latency, throughput, and cost efficiency through profiling, thoughtful system design, and iteration.
Work closely with Product, ML, Infrastructure, and customer-facing teams.
Enable others by building systems that are intuitive, reliable, and developer-friendly.
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.
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.
Experience owning services with real uptime and operational responsibility.
Familiarity with observability tooling (metrics, logging, tracing) and incident response.
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.
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.
BenefitsCompetitive salary plus equity
Medical, Dental, and Vision coverage
401(k)
Unlimited PTO
Daily lunches
Commuter benefits
