Brainco

Brainco

AI Platform Engineer, Backend Capabilities

San Francisco Bay Area · Mid

Sponsorship not specifiedDetected 359 days ago
TypeScriptPythonGoRustC++Distributed SystemsBackend DevelopmentDatabricksKubernetesPlatform EngineeringTemporalRESTgRPCKafkaMachine LearningSparkData EngineeringIncident ResponseComplianceExcel

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odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

7 transfer filings in the last year, covering 7 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • This includes designing scalable solutions for ML experiment tracking, artifact management, and automated training and evaluation pipelines.
  • Engineer highly available, fault-tolerant systems with deep observability.
  • You understand what happens under the hood.

Responsibilities

  • Brain Co. builds AI-native operating systems for large, regulated institutions.
  • Every project here ships to production and is expected to create measurable customer value and impact.
  • As an AI Platform Engineer at Brain Co., you will build the shared backend services and technical capabilities that help us scale our AI products quickly, safely, and reliably.
  • You will take ambiguous product and technical challenges, turn them into clear system designs, and ship robust platforms that support real-world AI applications for the world's most important institutions.
  • You will own backend services from design through production, working closely with teams across Product, ML, and Infrastructure on system design and technical tradeoffs.
  • Design, build, and operate the platform backend services and data pipelines that power Brain Co.'s AI products. You will own the full lifecycle: from initial architecture and implementation to deployment and long-term maintenance.

Requirements

  • Your architectures must be robust enough to meet the strict uptime and latency SLAs demanded by our enterprise and government clients.
  • You bring 2+ years of experience building and scaling production backend services or platforms, with strong proficiency in Python, Go, Rust, TypeScript, C++, or similar languages.
  • You have strong fundamentals in distributed systems, including consistency, availability, failure modes, retries, and idempotency.
  • Familiarity with Kubernetes, cloud-native service deployment, or multi-tenant architectures.

Compensation

  • Earn competitive compensation and meaningful equity in a high-growth company.

Benefits

  • Competitive salary plus equity
  • Commuter benefits
  • Medical, Dental, and Vision
  • Earn competitive compensation and meaningful equity in a high-growth company.

Company info

  • Rebuild how the world works, to make institutions work better for the people they serve.
  • ABOUT BRAIN CO.
  • Each system is built for a specific industry, powered by agents that push real workflows forward.
  • Underneath it all is Atlas, our proprietary platform that keeps customers in control, secure by design, and never locked into one model.
  • Brain Co. is entering its next phase of production deployments on a national scale with an elite team built from Palantir, Google, Meta, and Nvidia, and a growing footprint across government, insurance, health, and financial services.
  • Joining now means shaping both the company and a new category of applied AI.
  • You'll work alongside exceptional peers on some of the hardest problems in applied AI.
  • It's the kind of work you'll still be proud of in ten years from now.
  • You treat our internal ML and product teams as your primary customers.
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