AI Software Engineer (Member of Technical Staff, Agents)
- 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
- 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 cloud, and other environments through flexible abstractions and frictionless backgrounding
- 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
- 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
- Context engineering and tool interfaces for frontier AI models
- Significant experience in at least one of the following areas:
- Proficiency in Python (bonus points for TypeScript, Go, and/or Rust)
- Browser technologies (CDP, Playwright, extension development, etc.)
- Strong product intuition and taste for user experience excellence
- Post-training and reinforcement learning (particularly for multimodal models)
- Strong foundational familiarity with the full AI product stack
- A passion for shipping products that surprise and delight
- Comfortable working with a small, fast-moving team, must be willing to dive in and take ownership