Member of Technical Staff (Software Engineer, Applied AI)
Core
Design, build, and iterate on cutting-edge AI agents and context layer applications for Perplexity Computer to serve millions of global users.
Role type
Senior Applied AI Engineer (LLMs & Agents)
Builds
Frontier context layer applications, autonomous agent harnesses, and auto-research systems for Perplexity Computer.
Domain
Generative AI, Large Language Models (LLMs), Agentic Systems, Personalization
Deliverable
production ML models | product features
Required skills
LLM techniques, context summarization, retrieval and ranking, agentic coding tools, full AI lifecycle management, A/B testing, Python, data analysis, model evaluation
Preferred skills
LLM context engineering, harness engineering, mid-training/post-training of frontier open source models, large-scale user-centric personalization
Technologies
Python, LLMs, agentic coding tools
Responsibilities
Develop frontier agent capabilities, build auto-research harnesses for offline/online techniques, own the entire model lifecycle from research to production, design experiments and metrics for quality/impact, collaborate cross-functionally to drive product improvements, incorporate emerging ML/AI research into the product lifecycle
Seniority
Senior, hands-on IC
