Brain Co. logo
Brain Co.
Verified live 13h ago

AI Platform Engineer, Backend

Brief overview

San Francisco Bay AreaIn-person
5+ yrsMinimum
10 H-1B approvalsDept. of Labor
3 green cardsCertified filings
GoTypescriptRustPythonRESTgRPCevent-driven architecturedistributed systemssystem designAPI designobservabilityKubernetescloud-native deploymentreal-time systemsstreaming data

About the company

Brain Co. logo
Brain Co.brain.co

Brain Co. partners with large enterprises and governments to build secure, impactful AI platforms and applications for real-world problems.

Visa sponsorship history

3 years sponsoring, last filed FY2025

Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.
10H-1B approved
83%approval rate
3new H-1B hires
3PERM certified
$94,710median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20233
20243
20254
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20232
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20231
20241
20251
Top sponsored roles
Design LeadMechanical Engineer
Sponsored employees from
China

Job description

About Brain Co.

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 Role

As 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 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 coverage

  • 401(k)

  • Unlimited PTO

  • Daily lunches

  • Commuter benefits

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