---
title: 'AI Platform Engineer, Agentic Engineering at Brain Co.'
canonical: 'https://feeny.ai/job/ai-platform-engineer-agentic-engineering-brain-co-san-francisco-kw8xx0rptf2w'
type: 'job'
last_seen: '2026-09-09'
---

# AI Platform Engineer, Agentic Engineering at Brain Co.

- **Company:** Brain Co.
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-05-06
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/brainco/82fca179-5032-4f8a-8124-4cf661a1b163/application

**Skills:** Python, TypeScript, Go, Rust, Distributed Systems, API Design, Cloud-Native, Kubernetes, Infrastructure-as-Code, OAuth, OIDC, Secrets Management, Observability, CI/CD, LLM Infrastructure, Agent Frameworks, Sandboxed Code Execution, Prompt Injection Defense, Supply-Chain Risk Mitigation, HIPAA

> Build and enable agentic workflows and foundational systems for production AI applications. Own end-to-end architecture for LLM usage, including security, orchestration, and developer tools, ensuring reliability and safety for internal teams and external partners.

## 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:

You'll join the team that builds and enables agentic workflows across Brain Co. For every engineer, operator, and business team internally, and for the production AI systems we deploy to governments, healthcare systems, and critical industries. This is a platform role at the center of the company's agent-first strategy: you'll build foundational systems used by every engineering team, and the bar is product-grade because the entire company depends on them.

## WHAT YOU’LL WORK ON:

- Own the foundations of how LLMs are used across the company: cost visibility and controls, data privacy, identity and access, routing, and the security posture around all provider traffic.
- Design the sandboxing, orchestration, audit, and guardrail layers that product teams build their agents on, so verticals don't need to invent their own abstraction.
- Solve the hard problems: prompt-injection defenses, scoped credentials, kill switches, multi-tenant isolation (including VM-level pod isolation), and runaway-cost controls.
- Design the orchestration, isolation, and resource models that make this viable: cold-start vs. always-on tradeoffs, credential and token lifecycle, fan-out and fan-in patterns, fairness and quota enforcement across tenants, and the observability needed to debug at that volume.
- Make AI-assisted development a first-class platform layer: coding agents that review and ship code, automate CI, refactor at scale, and run as background workers across the codebase, together with the canonical scaffolding and guardrails that govern them.
- Build the systems that let every team; engineering, operations, and the business, run their own agents reliably and safely against the tools they already use, with the right credentials, scheduling, memory, and audit underneath.
- End-to-end ownership: architecture, implementation, rollout, observability, on-call, and iteration based on internal user feedback.
- Partner closely with security, infrastructure, and product teams to make agent deployments safe by default.

YOU MIGHT BE A GREAT FIT IF YOU…

- Have 5+ years building backend systems in production, with deep proficiency in at least one of Python, TypeScript, Go, or Rust.
- Bring strong fundamentals in distributed systems: consistency, idempotency, retries, failure modes, queueing, scheduling.
- Have designed and operated APIs and services that other engineers depend on.
- Have a proven track record building shared infrastructure, internal platforms, or developer-facing services that real users adopted.
- Have strong intuition for developer experience, long-term maintainability, and where to draw abstraction boundaries.
- Are comfortable owning the full lifecycle: writing the design doc, shipping the MVP, hardening it, and driving adoption across the company.
- Have owned services with real uptime and operational responsibility, and are comfortable with observability stacks, incident response, and SLOs.
- Bring cloud-native experience: Kubernetes, infrastructure-as-code, OAuth/OIDC, secrets management.

## WAYS YOU MIGHT STAND OUT:

- Experience building or operating LLM infrastructure: gateways, inference systems, prompt routing, cost attribution, evaluation harnesses.
- Experience with agent frameworks, tool-use systems, or sandboxed code execution.
- Security instincts around prompt injection, supply-chain risk in agent ecosystems, and credential scoping for autonomous systems.
- Background in multi-tenant, regulated, or government deployments (HIPAA, SOC2).
- Open-source contributions to AI infrastructure, agent tooling, or developer platforms.

## WHY JOIN US

- 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

## 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