Brainco

Brainco

AI Application Security Engineer

San Francisco Bay Area · Senior

Sponsorship not specifiedDetected 76 days ago
TypeScriptPythonGoCode ReviewDatabricksCI/CDMachine LearningLLMsAgentic AICybersecurityComplianceHIPAAPatient Care

About the role

  • Brain Co.'s products are built on agentic infrastructure - AI that takes actions, calls tools, and operates inside complex institutional workflows.
  • Integrate security into the development lifecycle - code review, CI/CD pipelines, and pre-deployment checks - catching risk before it reaches production.
  • Conduct threat modeling across product features and release cycles, translating risk into concrete controls that ship alongside each product.

Responsibilities

  • Build and maintain security tooling and automated checks that scale your reach across the codebase - using AI to move faster and cover more ground than manual review alone could.
  • Own the application-layer security model for Brain Co.'s agentic products - how agents are scoped, what they are authorized to do on behalf of users, and where trust boundaries sit between the agent and the external systems it touches.
  • Build reusable secure-by-default patterns for agent development - design guidelines, review checklists, and code-level guardrails - so that security standards scale as new agent capabilities are built.
  • Understand the security surface of agentic AI across the product layer - how agents should be designed, scoped, and reviewed for risk - and can work shoulder-to-shoulder with engineers to build those standards in.
  • You will write code, ship security tooling, and work directly with product and ML engineers to build security in from the start rather than bolt it on after.
  • Own secure development practices across our products: AuthN/AuthZ patterns, secrets management, input handling, and secure-by-default standards that engineers can follow without security becoming a bottleneck.
  • Work directly with product and ML engineers during feature development to define secure agent design patterns: tool scoping, permission boundaries, output validation, and safe handling of user context across multi-step workflows.
  • Build safeguards against unauthorized data exposure across our products: access controls, output filtering, and audit logging that make data handling attributable and reviewable.
  • Design secure data handling patterns for AI features operating on regulated data, working with platform and ML teams to ensure the application layer upholds its share of the data protection contract.
  • Define what application and AI security looks like at a company building frontier AI for governments, hospitals, and critical industries - from the ground up.

Requirements

  • Have 5+ years of experience in application security or product security, with hands-on experience on production systems at scale.
  • The degree varies by product, but the underlying security surface is consistent: how agents are authorized, what they can touch, and how that is controlled at the application layer.
  • Experience with agent security, LLM application security, or building authorization and guardrail systems for agentic pipelines.
  • Proficiency in Python, Go, or TypeScript for security tooling and automation.
  • Experience with SAST/DAST tooling or integrating automated security checks into developer workflows at scale.

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.
  • Streamlined hospital patient care across national health systems → 40% better outcomes, 80% less admin work

Company info

  • Raised a $55M Series A from leading investors
  • Built a team of 70+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks
  • About Brain Co.
  • Brain Co. is an applied AI startup co-founded by Jared Kushner and Elad Gil, and backed by leading Silicon Valley builders including Patrick Collison and Andrej Karpathy.
  • We are building AI applications for the world's most important institutions, delivering impact on real-world problems across governments, healthcare systems, and critical industries.
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