---
title: 'AI Security Engineer, 2027 New Grad at Brain Co.'
canonical: 'https://feeny.ai/job/ai-security-engineer-2027-new-grad-brain-co-san-francisco-ak7gmf76gky7'
type: 'job'
last_seen: '2026-10-21'
---

# AI Security Engineer, 2027 New Grad at Brain Co.

- **Company:** Brain Co.
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-01
- **Last confirmed live:** 2026-10-21
- **Apply:** https://jobs.ashbyhq.com/brainco/32c4e1c9-ccd1-4dca-a68b-31ad1b868030

## 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 Security Engineer, you'll build the tooling and automation that makes secure software the default at Brain Co. You'll work alongside security, platform, and infrastructure engineers — but your day-to-day is building. This full-time, entry-level role is designed for candidates completing a bachelor's or master's degree in Spring 2027. You don't need prior security experience. You need to be someone who likes building things that work, and who's excited to use AI to automate problems that used to take a person. We'll teach you the security domain through code reviews, design discussions, pairing, and real ownership from day one.

## What You’ll Work On

- Build internal tools and automation that engineers across the company actually use — linters, reusable workflows, bots, CLIs, dashboards.
- Use AI and LLMs to automate work that previously required manual review: triaging findings, generating fixes, summarizing risk, writing remediation guidance.
- Add automated guardrails to CI/CD pipelines so problems get caught before they ship, instead of after.
- Write the automation that detects issues across cloud and infrastructure config, and — where possible — fixes them without a human in the loop.
- Turn noisy machine output into clear, actionable next steps for the engineers who have to act on it.
- Improve docs and developer experience so the safe path is also the fastest path.
- Participate in design reviews, code reviews, and architecture discussions as you ramp on the domain.

You Might Be a Great Fit If You…

- Expect to complete a bachelor's or master's degree in Computer Science, Engineering, or a related technical field in Spring 2027.
- Have strong software engineering fundamentals, shown through internships, research, coursework, or personal projects.
- Write reliable code in Python, Go, Java, C++, Bash, or similar.
- Have shipped something someone else used — a tool, a script, a service, a side project.
- Have hands-on experience building with LLMs, or are eager to: prompting, agents, evals, or AI-assisted developer tooling.
- Have a working mental model of how code gets to production — version control, CI/CD, containers, cloud — even if you've never owned it professionally.
- Enjoy thinking about how systems fail and what could go wrong, and would rather prevent a problem than be paged for it.
- Are curious, proactive, and learn fast in a fast-moving environment.
- Want real ownership while learning from experienced engineers.

Bonus Points For

- Projects or internships involving developer tools, platform engineering, or internal automation.
- Experience building with AI/LLM APIs, agent frameworks, or evaluation pipelines.
- Exposure to Kubernetes, Docker, Terraform, GitHub Actions, or a major cloud (AWS, GCP, Azure).
- Any prior security exposure including coursework, CTFs, bug bounties, research, or a security-adjacent internship.
- Curiosity about software supply chain security: dependencies, build integrity, provenance.

Job Details & Benefits

- Eligibility: Completing a bachelor's or master's degree in Spring 2027.
- Competitive full-time compensation and benefits.
- Support and feedback from experienced security and infrastructure engineers.
- Work on real production systems used globally.
- Meaningful ownership from day one, with room to grow alongside the team.
- Daily lunches if onsite.

## 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.

- [AI Product Engineer, 2027 New Grad](https://feeny.ai/job/ai-product-engineer-2027-new-grad-brain-co-san-francisco-bmk4rke9vkc4) — San Francisco, CA
- [Security Engineer, Detection & Response](https://feeny.ai/job/security-engineer-detection-response-brain-co-san-francisco-9vmcqadw0r0v) — San Francisco, CA
- [AI Security Engineer Co-Op Intern, Winter 2027](https://feeny.ai/job/ai-security-engineer-co-op-intern-winter-2027-brain-co-san-francisco-6yxe5yv9nfr8) — San Francisco, CA
- [AI Platform Engineer Co-Op Intern, Winter 2027](https://feeny.ai/job/ai-platform-engineer-co-op-intern-winter-2027-brain-co-san-francisco-kp0p14kewgt0) — San Francisco, CA
- [Machine Learning Engineer, Applied AI Co-Op Intern, Winter 2027](https://feeny.ai/job/machine-learning-engineer-applied-ai-co-op-intern-winter-2027-brain-co-san-zryx6b3070na) — San Francisco, CA
- [AI Product Engineer Co-Op Intern, Winter 2027](https://feeny.ai/job/ai-product-engineer-co-op-intern-winter-2027-brain-co-san-francisco-r9j5xv2yqwr3) — San Francisco, CA
- [AI/ML Engineer, 2027 New Grad](https://feeny.ai/job/ai-ml-engineer-2027-new-grad-brain-co-san-francisco-rzqnqfm6a5v6) — San Francisco, CA
- [AI Platform Engineer, 2027 New Grad](https://feeny.ai/job/ai-platform-engineer-2027-new-grad-brain-co-san-francisco-ehc30b5td1c4) — San Francisco, CA
- [Machine Learning Engineer, Platform](https://feeny.ai/job/machine-learning-engineer-platform-brain-co-new-york-jeg7mvn4bx8x) — New York, NY
- [Machine Learning Engineer, Applied AI](https://feeny.ai/job/machine-learning-engineer-applied-ai-brain-co-new-york-9sanbvzxax6h) — New York, NY