--- title: 'AI Platform Engineer, Capabilities at Brain Co.' canonical: 'https://feeny.ai/job/ai-platform-engineer-capabilities-brain-co-san-francisco-a0twj91sbbjz' type: 'job' last_seen: '2026-09-09' --- # AI Platform Engineer, Capabilities at Brain Co. - **Company:** Brain Co. - **Location:** San Francisco, CA - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-05-05 - **Last confirmed live:** 2026-09-09 - **Apply:** https://jobs.ashbyhq.com/brainco/b9b965a7-39e8-4164-bfad-209fe7f5889b/application **Skills:** Python, Go, Rust, C++, REST, gRPC, Distributed Systems, Observability, API Design, Weights & Biases, MLflow, ClearML, Ray, Flyte, Kubeflow, Temporal, Kafka, Spark, Flink, SOC2 > Build and operate shared backend platform services and data pipelines to support scalable AI products for government and healthcare clients. Design fault-tolerant, high-availability systems with strong observability and API standards, bridging engineering, product, and ML research teams. ## Job description ## OUR MISSION Rebuild how the world works, to make institutions work better for the people they serve. ABOUT BRAIN CO. Brain Co. builds AI-native operating systems for large, regulated institutions. 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. ## WHY NOW 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. Every project here ships to production and is expected to create measurable customer value and impact. 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. ## ABOUT THE ROLE: As a core backend engineer at Brain Co., you will build the shared 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. If you are driven by high-stakes engineering and thrive on delivering systems built for uncompromising reliability, this is the exact opportunity for you. ## WHAT YOU’LL WORK ON: - 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. - Build the critical systems that accelerate our AI product development. 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. Your architectures must be robust enough to meet the strict uptime and latency SLAs demanded by our enterprise and government clients. - Design modular and scalable architectures, and clean APIs (REST, gRPC) with a long-term platform mindset. Continuously profile systems to ruthlessly optimize for latency, throughput, and cloud compute costs. - Act as the bridge between engineering, product, and ML research. You will partner with these teams to build shared platform capabilities that remove bottlenecks and drastically reduce the time it takes to ship new AI products to our clients. YOU MIGHT BE A GREAT FIT IF YOU: - You bring 3+ years of experience building and scaling production backend services or platforms, ideally using languages common in the AI/Data ecosystem (e.g., Python, Go, Rust, or C++). - You don't just use frameworks; you understand what happens under the hood. You have a deep grasp of consistency, availability, distributed failure modes, and idempotency. - You treat our internal ML and product teams as your primary customers. You have a strong intuition for building intuitive, well-documented, and highly maintainable APIs and shared platforms. - You have a track record of owning services with real uptime expectations. You design for observability from day one and aren't afraid of on-call responsibilities for the systems you build. - You excel at breaking down complex, open-ended problems into clear technical designs, moving from first principles to production-ready systems with both speed and rigor. - You treat the platform as your own. You care about the end-to-end lifecycle of your systems. ## BONUS POINTS FOR: - You have integrated or managed standard ML experiment tracking, artifact management, and model registries (e.g., Weights & Biases, MLflow, ClearML) or orchestrators (e.g., Ray, Flyte, Kubeflow). - You have designed and operated high-throughput data pipelines and resilient asynchronous workflows using durable execution engines (e.g., Temporal), streaming platforms (e.g., Kafka), or distributed compute frameworks (e.g., Spark, Flink). - You have navigated strict compliance frameworks (e.g., SOC2, FedRAMP) or built systems specifically for highly regulated, air-gapped, or on-premise environments. ## WHY JOIN US: - Work alongside senior engineers from Tesla, DeepMind, Databricks, and other top engineering orgs. - Ship fast, learn constantly, and see your work protect production systems used by millions. - Earn competitive compensation and meaningful equity in a high-growth company. ## BENEFITS - Competitive salary plus equity - Daily lunches - Commuter benefits - 401(k) - Medical, Dental, and Vision - Unlimited PTO ## About Brain Co. ## Company Overview - **One-liner**: Brain Co. builds applied AI platforms and applications that automate complex, manual workflows for the world’s most important institutions, turning permitting, insurance, supply chain, and patient-care processes from months-long bottlenecks into minutes-long transactions. - **Entity Type**: Private (Series A) - **Headquarters**: San Francisco, California, United States (also offices in the United Arab Emirates, United Kingdom, and Spain) - **Founded**: 2024 (founding conversation in February 2024; public launch in 2025) - **Founders**: Jared Kushner, Dan Ashton (CEO), Elad Gil, Dr. Luis Videgaray, Eric Wu, Mircea Pasoi, Revant Kapoor ## Core Business - **Primary industries**: Artificial intelligence, government technology, healthcare, insurance, energy, hospitality, supply chain logistics - **Target customers**: Global 2000 enterprises, federal/state governments, large healthcare systems, insurance carriers (B2B / Enterprise) - **Mission or purpose statement**: “Empower the world’s most important institutions to create an abundant AI future” and “reinvent the broken processes that hold governments and institutions back.” ## Products & Services - **Permitting**: Automates construction and other permitting workflows, cutting the process from months to minutes (claims 99% faster, $375M+ unlocked annually). SaaS / AI workflow platform. - **Specialty Insurance**: Cuts complex underwriting and adjusting workflows from hours to minutes. AI-powered decision engine. - **Supply Chain**: Optimizes end-to-end supply chain operations, delivering 30% lower cost, 99% reliability, and mitigating $100M+ in lost revenue. Integrated AI platform. - **Patient Pathways**: Automates patient care-path management, returning patients to optimal care faster. Healthcare AI application. - **General AI Platform**: An underlying platform that automatically incorporates advances in foundation models, enabling applications to stay current without traditional re-development. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed (private company; Series A at $30M raised) - **Key Metric**: $30 million total funding (Series A, led by Elad Gil and Affinity Partners, announced October 2025) - **Notable Investors/Partners**: - Lead investors: Elad Gil (Gil Capital), Affinity Partners - Strategic partner: OpenAI - Angel investors include Ali Ghodsi (CEO Databricks), Andrej Karpathy, Aravind Srinivas (CEO Perplexity), Brian Armstrong (CEO Coinbase), Kevin Weil (CPO OpenAI), Reid Hoffman, Patrick Collison (CEO Stripe), Sarah Guo (Conviction), and many more. - **Growth Signals**: - Headcount: 73 employees (LinkedIn, June 2026), monthly growth of +20.2%, quarterly job posting growth +47.4% - 10+ Global 2000 customers and multiple government engagements - $375M+ annual value unlocked in permitting alone; $100M+ supply chain revenue loss mitigated - Strategic partnership with OpenAI for model access and co-innovation - Engineering talent sourced from Stripe, Palantir, Amazon, Adobe, Roblox, and Alchemy ## Competitive Advantages - **Outcome-based pricing**: Revenue model tied to client results, not software licenses – clients pay based on value delivered. - **Production deployment, not pilots**: Every engagement begins with a value case; solutions go straight into production. - **Domain-expertise embedded**: Subject matter experts in each vertical (government, insurance, healthcare) work alongside AI engineers to build around specific rules, regulations, and workflows. - **Future-proof AI**: Applications automatically incorporate new capabilities from foundation models as they are released, avoiding obsolescence. - **Enterprise-grade security**: SOC 2 and HIPAA-ready infrastructure with hallucination controls and guardrails. ## Strategic Focus - Scale the platform across additional government and enterprise verticals (e.g., energy, hospitality) - Deepen the partnership with OpenAI to rapidly leverage newest model capabilities - Expand headcount (28 active job postings, especially in AI engineering, infrastructure, security, and deployment) - Extend presence in the Middle East (Qatar, UAE) and Europe (UK, Spain) - Continue building a new software-development paradigm where applications auto-update with AI advances ## Why Work Here - **Culture**: “World-class talent built to deliver applied AI in production.” The team includes engineers from Tesla, NVIDIA, DeepMind, and top tech companies. Emphasis on solving hard, high-impact problems for the largest institutions. - **Remote/hybrid/office**: Not explicitly stated, but headquarters in San Francisco with distributed teams in UAE, UK, and Spain. Likely a hybrid or office-first model given the nature of client engagements. - **Notable perks or engineering culture**: - Outcome-driven work: every project tied to measurable value cases - Direct partnership with OpenAI and access to cutting-edge models - High-caliber co-founders (Kushner, Gil, Videgaray, Wu) and leadership (Marne Levine, former COO Instagram/Meta) - Rapidly growing (~73 people, +20% monthly headcount growth) – offers early-stage ownership - Roles span AI platform engineering, agentic systems, infrastructure, security, and deployment consulting ## Sources 1. [brain.co](https://brain.co/) – Main site overview 2. [brain.co](https://brain.co/blog/introducing-brain-co-9gk9a) – Introducing Brain Co. blog post (funding, founders, investors, customers) 3. [braincompany.ai](https://braincompany.ai/about) – About page (team, approach, security) 4. [linkedin.com](https://www.linkedin.com/company/brainco-ai/jobs) – LinkedIn company page (headcount, growth, job postings, talent sources) 5. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/brainco/) – Careers page (open positions) ## Other roles at Brain Co. - [Product Manager, Financial Services](https://feeny.ai/job/product-manager-financial-services-brain-co-san-francisco-3fa24156j0vd) — San Francisco, CA - [Private Equity Engagement Lead](https://feeny.ai/job/private-equity-engagement-lead-brain-co-san-francisco-dsr10m5g52v2) — San Francisco, CA - [Specialty Insurance Underwriter/Coverage Attorney/Consultant/Professional (Contract)](https://feeny.ai/job/specialty-insurance-underwriter-coverage-attorney-consultant-professional-qwspr442emtg) - [Commercial/Transactional Lawyer](https://feeny.ai/job/commercial-transactional-lawyer-brain-co-remote-4aeem8qsj0cn) - [Machine Learning Engineer, Platform](https://feeny.ai/job/machine-learning-engineer-platform-brain-co-san-francisco-3b4v2yrmrnjd) — San Francisco, CA - [Full Cycle Technical Recruiter](https://feeny.ai/job/full-cycle-technical-recruiter-brain-co-san-francisco-wwne111bgb3d) — San Francisco, CA - [Machine Learning Engineer, Applied AI - Deployed](https://feeny.ai/job/machine-learning-engineer-applied-ai-deployed-brain-co-london-8n2mv9qr9d3v) — London, United Kingdom - [AI Product Engineer, Deployed](https://feeny.ai/job/ai-product-engineer-deployed-brain-co-london-wknmh7b52szs) — London, United Kingdom - [AI Deployment Lead](https://feeny.ai/job/ai-deployment-lead-brain-co-abu-dhabi-dyvjtkbpcb7h) — Abu Dhabi, United Arab Emirates - [AI Platform & Infrastructure Engineer, Deployed](https://feeny.ai/job/ai-platform-infrastructure-engineer-deployed-brain-co-abu-dhabi-w9efm94wfs0s) — Abu Dhabi, United Arab Emirates