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Salary
$250k – $405k per year
Location
In office (San Francisco)
Seniority
Staff
Visa
H-1B filings in 12 months: 18 · for this role: 14
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Oct 26, 2026. Perplexity AI scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Perplexity AI is an American company that builds an answer engine combining live web search with large language models to return sourced, conversational responses instead of a list of links. Its products span a consumer assistant on web and mobile, the Comet browser, enterprise search over internal documents and the Sonar developer API that exposes the same grounded retrieval stack. Founded in 2022 in San Francisco by former researchers and engineers from OpenAI, Meta and Databricks, the company is backed by NVIDIA, IVP, New Enterprise Associates and SoftBank.

Perplexity is seeking energetic engineers to join our highly driven Agent Engine team. The Agent Engine team designs and builds powerful agentic experiences including Perplexity Computer, the Comet ecosystem, our Agent API, and more. In short, we build frontier intelligence systems for the world's most discerning users.

As an engineer on our Agent Engine team, you'll bring AI expertise, sharp product intuition, and a tinkerer's mindset to advance the frontier of what agents can accomplish for our millions of devoted users. You'll work across engineering and applied research to solve many open problems in AI, including:

  • Designing frontier agent harnesses and systems to perform high-stakes, mission-critical work for our users;

  • Leveraging action and decision models that determine, based on complex multimodal states, how to accomplish user-specified objectives;

  • Providing consistently excellent experiences across local execution, headless cloud, custom executors, and other environments through sound system design and flexible abstractions;

  • Developing permission architectures, payload classifiers, and other methods to implement secure-by-design agentic capabilities;

  • Designing optimal data representations and modes of interaction between agents and their environments;

  • and much, much more.

Qualifications

  • Strong foundational familiarity with the AI systems stack.

  • Proficiency in Python (bonus points for TypeScript, Go, and/or Rust).

  • Significant experience in at least one of the following areas:

    • Harness engineering

    • Agent Skills and plugin architectures

    • Model training and reinforcement learning

    • Browser technologies (CDP, Playwright, extension development, etc.)

  • Strong technical intuition and taste for user experience excellence.

  • Comfortable working with a small, fast-moving team; bias toward ownership.

  • A passion for shipping products that surprise and delight.

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