Pi Security Logo

Pi Security

AI Engineer

Posted One Month Ago
In-Office
San Francisco, CA, USA
Junior
In-Office
San Francisco, CA, USA
Junior
Build and maintain scalable AI agents, pipelines, and services; improve infrastructure for running, evaluating, and monitoring agents; collaborate with product and security teams on AI-powered security features; and evaluate emerging LLM and agent technologies for product use.
The summary above was generated by AI
AI Engineer

Pi.Security · San Francisco, CA · Full-time · Onsite, 5 days a week

About 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 list and covered by Forbes!

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.

 

Similar Jobs

Yesterday
Hybrid
Mountain View, CA, USA
201K-352K Annually
Senior level
201K-352K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Designs, deploys, and monitors AI safeguards for agentic systems, including defenses against prompt injection, jailbreaks, toxicity, sensitive topics, and data exposure. Builds evaluation datasets and measures false and true positives using customer, adversarial, and production data. Partners with Security to develop mitigations, integrates and fine-tunes detection models, balances quality, latency, and cost, configures customer policies, and resolves production regressions.
Top Skills: Agentic AiJailbreak DetectionLarge Language Models (Llms)Machine LearningModel EvaluationPrompt Injection DetectionPythonText Classification
Yesterday
Hybrid
Mountain View, CA, USA
176K-308K Annually
Entry level
176K-308K Annually
Entry level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Build and optimize production-grade agentic AI systems for enterprise assistants. Responsibilities include improving agent quality, reliability, latency, and safety; designing evaluation benchmarks, cognitive architectures, orchestration, context engineering, memory, multimodal interactions, and grounding; applying machine learning and LLM expertise; researching new AI techniques; shipping tested solutions at scale; and partnering with platform engineering teams to improve customer experiences.
Top Skills: Agentic AiConversational AiGenerative AiGoLarge Language Models (Llms)Machine LearningMultimodal AiPython
Yesterday
Hybrid
Mountain View, CA, USA
201K-352K Annually
Senior level
201K-352K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead security design for AI and ML features, maintain safeguards maps, and red-team LLM systems for jailbreaks, prompt injection, prompt leaks, and toxicity. Develop evaluation cases, security metrics, and mitigation strategies with ML engineers. Review safeguard changes, track emerging AI attack research, and implement production fixes using Python or Go.
Top Skills: GoLarge Language Models (Llms)Machine LearningMitre AtlasOwasp Top 10 For Llm ApplicationsPython

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account