Member of Technical Staff (AI Software Engineer, Agents)
$220k - $405k • Remote • San Francisco • FullTime
Posted 7h ago
Job Location
San Francisco
Tech Stack
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
AI Agent Engineer
About the job
Perplexity is seeking energetic engineers to join our highly driven Agents engineering team. The team collaborates to build harnesses and AI systems powering delightful agentic experiences, including Perplexity Computer, the Comet ecosystem, and our Agent API. Our vision is to empower users with agents that can faithfully actualize their intent 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.
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.
Requirements
- Strong foundational familiarity with the full AI product stack.
- Proficiency in Python (bonus points for TypeScript, Go, and/or Rust).
- Significant experience in context engineering and tool interfaces for frontier AI models.
- Significant experience in post-training and reinforcement learning (particularly for multimodal models).
- Significant experience in browser technologies (CDP, Playwright, extension development, etc.).
- Strong product intuition and taste for user experience excellence.
- Comfortable working with a small, fast-moving team, willing to dive in and take ownership.
- A passion for shipping products that surprise and delight.