Member of Technical Staff (AI Software Engineer, Agent Engine)
Perplexity · San Francisco
Extracted from the posting
Engineer on the Agent Engine team, which builds Perplexity Computer, the Comet ecosystem, and the Agent API. Work covers agent harnesses, action and decision models, permission architectures, and execution across local, cloud, and custom environments, combining engineering with applied research. Stack: Python required; TypeScript, Go, or Rust a bonus.
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 engineeringAgent Skills and plugin architecturesModel training and reinforcement learningBrowser 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.
Compensation: $250K - $405K
