Job description

AI ENGINEER Pi.Security · San Francisco, CA · Full-time · Onsite, 5 days a week ABOUT PI.SECURITY pi.security Pi is building an agentic product security platform for teams that need to secure software at the speed they build it. Modern development is accelerating, but security knowledge is still scattered across code, tickets, documents, incidents, reviews, and the people who remember why decisions were made. Pi turns that context into institutional security memory, helping teams triage faster, remediate in context, prevent repeat vulnerability classes, and embed security guardrails where engineering work already happens. We are building for a future where security is not a blocker at the end of the development process. It is part of how software gets designed, reviewed, shipped, and improved. Pi was recognized on Fast Company's 2026 Next Big Things in Tech fastcompany.com list and covered by Forbes forbes.com! ABOUT THE ROLE Pi is building an agentic product security platform for teams that need to secure software at the speed they build it. We connect security knowledge scattered across code, tickets, documents, incidents, reviews, and people. This institutional security memory helps teams triage faster, remediate in context, prevent recurring vulnerability classes, and bring security guardrails into everyday engineering work. We’re looking for an AI Engineer to build reliable agents, improve our AI infrastructure, and turn advances in LLMs into useful security features. This role requires working in person at our San Francisco office five days per week. WHAT YOU'LL DO - Develop and maintain scalable AI agents, pipelines and services. - Build and improve infrastructure for running, evaluating, and monitoring AI agents. - Work with product and security teams to design and deliver AI-powered security features. - Evaluate advances in LLMs and AI agents and apply them where they improve the product WHAT WE'RE LOOKING FOR - Strong software engineering experience and a record of building reliable production systems. - 2 years of experience building AI systems with LLMs. - 1 year of experience building AI agents for software products. NICE TO HAVE - A history of delivering complex SaaS projects while working in high-growth startups. - A passion for clean, maintainable code, thoughtful software design, and sound engineering practices. - A background in machine learning or data science. - Full-stack experience with TypeScript and React. WHY PI Pi is backed by a $35 million Series A led by Third Point Ventures and Brightmind Partners, with support from CrowdStrike CEO George Kurtz and Armis founders Yevgeny Dibrov and Nadir Izrael. Leading AI companies and enterprise innovators already rely on Pi, including xAI, Notion, Navan, Lemonade, and Teramind, and it's available through AWS Marketplace and a strategic partnership with Bugcrowd. Our founders have lived inside this problem. Guy Arazi was a security researcher at Microsoft, and Yoni Ramon led offensive security work at Tesla. You'll work closely with both. We're early enough that every hire shapes the product, the team, and how we work. You'll build alongside a humble, passionate, ambitious, and genuinely fun team that cares deeply about what we're building and about our customers. We hire for four things, and we work this way every day: - Speed. Velocity over polish. Something impactful this week beats a perfect plan for next quarter. - Depth. You go past the point of requirement. That is usually where the interesting part starts anyway. - Curiosity. The people who do best here ask the thing everyone assumed was already answered. - Ambition. We take on assumptions this industry accepts as given, and disprove them. COMPENSATION & BENEFITS The base salary range for this role in San Francisco is $168,000 - $235,000 per year. This is our good-faith estimate of what we expect to pay at hire. Where an offer lands depends on experience, skills, and level. Base salary is one part of total compensation, which also includes equity. - Meaningful equity in Pi.Security - Medical, dental, and vision coverage for you and your family, starting the 1st of the month after you join. - Flexible Spending Accounts (FSAs) for health and dependent care - Commuter benefits - Unlimited PTO - 401(k) - Health and wellness stipend - Lunch allowance on in-office days EQUAL OPPORTUNITY Pi.Security is an equal opportunity employer. We welcome applicants of all backgrounds and are committed to building a diverse and inclusive team. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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Pi.Security · San Francisco, CA · Full-time · Onsite, 5 days a week
Pi is building an agentic product security platform for teams that need to secure software at the speed they build it.
We’re looking for an AI Engineer to build reliable agents, improve our AI infrastructure, and turn advances in LLMs into useful security features.
This role requires working in person at our San Francisco office five days per week.
Develop and maintain scalable AI agents, pipelines and services.
Build and improve infrastructure for running, evaluating, and monitoring AI agents.
Work with product and security teams to design and deliver AI-powered security features.
Evaluate advances in LLMs and AI agents and apply them where they improve the product
Strong software engineering experience and a record of building reliable production systems.
2 years of experience building AI systems with LLMs.
1 year of experience building AI agents for software products.
Our founders have lived inside this problem. Guy Arazi was a security researcher at Microsoft, and Yoni Ramon led offensive security work at Tesla. You'll work closely with both.
We hire for four things, and we work this way every day:
Speed. Velocity over polish. Something impactful this week beats a perfect plan for next quarter.
Depth. You go past the point of requirement. That is usually where the interesting part starts anyway.
Curiosity. The people who do best here ask the thing everyone assumed was already answered.
Ambition. We take on assumptions this industry accepts as given, and disprove them.

Nice-to-haves

A history of delivering complex SaaS projects while working in high-growth startups.
A passion for clean, maintainable code, thoughtful software design, and sound engineering practices.
A background in machine learning or data science.
Full-stack experience with TypeScript and React.

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Effort: quick

Benefits

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Dental

Vision

401(K)

Pto

Wellness