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PerplexityPerplexitySan Francisco, CA

Member of Technical Staff

Build and advance AI agent systems at Perplexity that connect frontier models to tools and environments to perform valuable work for users. Requires strong AI product stack knowledge, Python proficiency, and deep expertise in at least one area such as context engineering, RL/post-training, or browser technologies.

220k – 405k/yr
On-site5+ YOEML Engineering

About the role

Responsibilities

  • Engineer agent harnesses that connect powerful models with the environments and tools required to perform economically valuable work for users.
  • Drive cutting-edge AI capabilities across multiple layers of a rapidly growing product in the AI agents space.
  • Develop and leverage cutting-edge AI models, infrastructure, and browser technologies to advance the capability frontier and scale those capabilities for a rapidly growing userbase.
  • Ensure a high craft and quality bar, in both AI agent performance and user experience.
  • Collaborate with fellow engineers, designers, product managers, data scientists, and others across the company to integrate core Perplexity functionality into our frontier agentic products and vice-versa.
  • Contribute to product reliability, code quality, AI evaluation, testing, and maintenance across the broader team.

Qualifications

  • Strong foundational familiarity with the full AI product stack.
  • Proficiency in Python (bonus points for TypeScript, Go, and/or Rust).
  • Significant experience in at least one of the following areas:
    • Context engineering and tool interfaces for frontier AI models
    • Post-training and reinforcement learning (particularly for multimodal models)
    • Browser technologies (CDP, Playwright, extension development, etc.)
  • Strong product intuition and taste for user experience excellence.
  • Comfortable working with a small, fast-moving team, must be willing to dive in and take ownership.
  • A passion for shipping products that surprise and delight.

Skills

PythonTypeScriptGoRustcontext engineeringtool interfacespost-trainingReinforcement Learningmultimodal modelsbrowser technologiescdpPlaywrightAI AgentsLLMs

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