Staff AI Platform Engineer (Enterprise)

Perplexity; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Perplexity is seeking creative, AI-native engineers to join our Enterprise Adoption team in San Francisco. You will build core systems that unlock enterprise use of our AI tools, collaborating with product, design, data science, sales, and customers.

You’ll translate business needs into scalable AI-driven experiences, focusing on internal adoption and external enterprise solutions. The role blends frontend/backend engineering with applied AI and operations knowledge in a fast-moving,

Qualifications

• 4+ years of professional software engineering experience.
• Experience building enterprise/internal platforms is a plus.
• Daily use of AI models/tools with knowledge of frontier tech.
• Proficient in Python; experience with TypeScript and Go.
• Understanding non-technical staff needs across enterprises.
• Knowledge of AI agent stack (agents, connectors, context engineering, evals).
• Strong product judgement to simplify user experience.

Responsibilities

• Identify and execute high-potential opportunities to transform Perplexity for every team.
• Develop empathy across teams to translate needs into AI solutions.
• Engineer connectors and evaluation infra to unlock team use cases at scale.
• Bridge internal usage with product improvements based on feedback.
• Collaborate with PM/Design/Data Science/Sales to deliver simple product experiences.

Skills

Python

TypeScript

Go

AI models

Enterprise platforms

Product judgement

Agent stack knowledge

Job description

Perplexity is seeking creative, AI-native engineers to join our Enterprise Adoption team in San Francisco. You will build core systems that unlock enterprise use of our AI tools, collaborating with product, design, data science, sales, and customers.

You’ll translate business needs into scalable AI-driven experiences, focusing on internal adoption and external enterprise solutions. The role blends frontend/backend engineering with applied AI and operations knowledge in a fast-moving,