Backed by Accel, Bessemer and NEA.
About the role
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.
What they're looking for
- Strong foundational familiarity with the full AI product stack
- Proficiency in Python (bonus points for TypeScript, Go, and/or Rust)
- 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
More about this role
Perplexity is seeking energetic engineers to join our highly driven Agents engineering team. The Agents team consists of backend, full-stack, and AI/ML engineers who collaborate to build harnesses and AI systems powering delightful agentic experiences. These experiences include Perplexity Computer (our platform for generalized frontier intelligence), the Comet ecosystem , our Agent API, and more.
Our vision is to empower our users with agents that can faithfully actualize their intent, however and wherever expressed, through open-ended interactions with the world. As an engineer on our Agents team, you will 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 will work across applied research and engineering to solve many open problems in AI, including:
Designing AI agents to navigate the digital world and perform increasingly valuable units of work for our users;
Training action and decision models that determine, based on complex multimodal states, how to accomplish user-specified objectives;
Providing consistently excellent experiences across desktop, mobile, headless...
Browse similar: AI jobs · AI startup jobs · Startup jobs · San Francisco Bay Area