--- title: 'AI Product Engineer, Deployed at Brain Co.' canonical: 'https://feeny.ai/job/ai-product-engineer-deployed-brain-co-london-wknmh7b52szs' type: 'job' last_seen: '2026-09-09' --- # AI Product Engineer, Deployed at Brain Co. - **Company:** Brain Co. - **Location:** London, United Kingdom - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-07-22 - **Last confirmed live:** 2026-09-09 - **Apply:** https://jobs.ashbyhq.com/brainco/036ef874-49fc-4e6b-b162-7550d5616ca8 ## 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 an AI Product Engineer, Deployed at Brain Co., you will play a pivotal role in building and deploying state-of-the-art software solutions to automate various real-world problems. You will work directly with the customer to develop the product spec and building from zero. From designing robust front-end interfaces to developing scalable back-end systems, you will turn research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential. In This Role, You Will: - Innovate and Deploy: Design, develop, and deploy advanced software solutions that integrate AI to tackle real-world problems, particularly in automating complex, manual processes in government and industrial sectors. Utilize modern web frameworks, microservices architecture, and cloud computing to build applications that apply AI to intricate optimization challenges. - Make a Big Impact: Interact directly with key customer stakeholders to apply pioneering AI solutions while working alongside experienced ex-founders, government officials/ministers, AI researchers, and engineers. Understand complex business challenges and deliver software solutions powered by AI. Join a dynamic team where ideas are exchanged freely, and creativity flourishes. You will wear many hats: software development, product management, sales, and interpersonal skills. - Optimize and Scale: Build scalable data pipelines, integrate industrial sensor networks, optimize application performance and reliability, and prepare systems for production. Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems. - Learn and Lead: Stay abreast of the latest developments in software engineering and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices. Mentor junior engineers and lead by example. - Make a Difference: Monitor and maintain deployed applications to ensure they continue delivering value across various governments worldwide. Work directly with customer engineers and SMEs to develop and tune applications that optimize their workflows and deliver tangible upside. Your work will directly impact how AI benefits individuals, businesses, and society at large. You Might Thrive In This Role If You: - Are eager to travel to customer locations globally for 6+ months and work directly with SMEs and end-users - Minimum 2+ years of experience and an appetite for working directly with the customer to develop the software spec and build from zero - Experience with front-end and back-end technologies, microservices, and cloud platforms - Experience with modern web tooling such as React, Typescript, RESTful APIs, and database management systems - Possess a strong foundation in software design principles, data structures, and algorithms - Exhibit excellent problem-solving and analytical skills, with a proactive approach to challenges - Enjoy working collaboratively with cross-functional teams - Thrive in fast-paced environments where priorities or deadlines may compete. - Eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done - Hold a Bachelor’s/Master’s degree in Computer Science, Software Engineering, or a related field Nice to Have: - Experience working on on-site engineering projects or in client-facing roles (Forward-Deployed Engineer, Solutions Engineer, Integration Engineer, Sales Engineer, Customer Engineer) ## Benefits - Competitive salary - Paid Maternity and Paternity Leave - Daily Lunches - Commuter benefits - Unlimited PTO ## Why Join Us - Ship quickly, iterate constantly and see your work deployed at global scale - Collaborate with industry veterans from Tesla, DeepMind, Databricks, and more - Accelerate your career with ownership based on impact, not tenure - Earn competitive compensation + meaningful equity in a high-growth company - Thrive in a culture built on speed, curiosity, and impact If you want to see your work deployed at scale with real impact, Brain Co. is the place to build. ## 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 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 - [AI Deployment Lead](https://feeny.ai/job/ai-deployment-lead-brain-co-san-francisco-bgg9872de6c2) — San Francisco, CA