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Security Services

AI Engineer

San Francisco, CAOnsiteFull TimeEntry-level (exp-based)Posted 29 days ago

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Required skills

  • AI agents
  • LLMs
  • production systems
  • software engineering
  • AI systems

Nice to have

  • complex SaaS projects
  • high-growth startups
  • clean, maintainable code
  • thoughtful software design
  • sound engineering practices
  • machine learning

Role summary

Pi Security is seeking an AI Engineer to build and maintain reliable AI agents, improve AI infrastructure, and leverage LLM advancements for security features. The role involves developing scalable AI agents, pipelines, and services, enhancing infrastructure for AI agent evaluation and monitoring, and collaborating with product and security teams to deliver AI-powered security solutions. This position requires strong software engineering experience and a proven track record in building reliable production systems, with specific experience in AI systems and AI agents for software products.

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.

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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