Member of Technical Staff (AI Software Engineer, Agent Engine)
PerplexitySan Francisco, CAposted 12h ago
- PayUSD / yr
- $250k – 405k
- Where
- San Francisco, CA
- Posted
- Oct 26
- 12 hours ago
- Type
- Full-time
- Setup
- On-site
At a glance
Build frontier agent systems and agentic experiences, spanning harnesses, multimodal decision models, secure execution, and product-focused infrastructure for millions of users.
Summarized by AI from the original posting
What you'll do
- Design frontier agent harnesses and systems for high-stakes work
- Leverage action and decision models across complex multimodal states
- Build reliable experiences across local, cloud, and custom execution environments
- Develop secure-by-design agent capabilities, including permissions and payload classifiers
- Design data representations and agent-environment interactions
Requirements
- 01Strong foundational familiarity with the AI systems stack
- 02Proficiency in Python
- 03Significant experience in harness engineering, agent skills and plugin architectures, model training and reinforcement learning, or browser technologies
- 04Strong technical intuition and product taste
- 05Comfort working with a small, fast-moving team
- 06Ownership mindset
- 07Passion for shipping products
Skills
Full description
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.