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Open nowPosted 16 hours ago

AI Engineer

Pi Security8 open roles

Where
San Francisco
Work mode
On site
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Your applicationOpen nowAI EngineerPi Security · San Francisco
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Pi Security's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

8.2% of postings close within 7 days. Measured by our own scanner across the market. Pi Security postings stay open a median of 13 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.8%3 days
  3. 8.2%7 days
  4. 15.2%14 days
  5. 34.2%30 days
This job: posted 16 hours ago

Pi Security median: 13 days open

The posting

AI ENGINEER

ROLE OVERVIEW

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.

Read about Pi Security on Forbes https://www.forbes.com/sites/thomasbrewster/2026/06/10/elon-musk-favorite-hacker-launches-100-million-ai-cyber-startup/.

KEY RESPONSIBILITIES

- 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.

REQUIRED QUALIFICATIONS

- 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.

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    The review screen in CV Rocket: how each CV was read, round by round.
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Why it works

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more interviews than doing it yourself with ChatGPT.

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  • Who got the interview, and who heard nothing

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