Member of Technical Staff (AI Software Engineer, Agent Engine)
Required skills
- Agent Engine
- frontier intelligence systems
- AI expertise
- product intuition
- tinkerer's mindset
- agentic experiences
- Perplexity Computer
- Comet ecosystem
- Agent API
- action and decision models
Nice to have
- user experience excellence
- ownership
Role summary
Perplexity is hiring engineers for its Agent Engine team to design and build frontier AI agentic experiences, including Perplexity Computer, the Comet ecosystem, and an Agent API. The role involves leveraging AI expertise and product intuition to solve complex problems in agent design, action/decision models, system architecture, security, and data representation. Candidates should have a strong familiarity with the AI systems stack and proficiency in Python, with bonus points for TypeScript, Go, or Rust. Significant experience in areas like harness engineering, agent skills, model training, reinforcement learning, or browser technologies is required. The role emphasizes working in a fast-moving team with a bias toward ownership and delivering delightful products.
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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