AI-Driven Data Systems Engineer

Perplexity; San Francisco (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Perplexity is seeking a data-focused engineer to advance AI-driven analytics, building systems that turn data into actionable insights. You’ll work on end-to-end analysis workflows, from hypothesis formation to drafting recommendations with proper evaluation and guardrails.

The role emphasizes building AI systems that transform how data science is done, including retrieval and evaluation loops to support reliable warehouse queries and proactive data issue detection.

Qualifications

• Experience building AI-enabled data products and pipelines.
• Ability to design metrics that matter and run informative experiments.
• Familiarity with end-to-end analytics workflows and data quality guardrails.

Responsibilities

• Build AI agents and internal systems for end-to-end analysis workflows.
• Design retrieval infrastructure and evaluation loops for reliable data querying.
• Detect and diagnose data issues to prevent company-wide impact.
• Develop scalable data tooling and AI-native operating models.

Skills

A/B testing

Data modeling

SQL

AI systems

Job description

Perplexity is seeking a data-focused engineer to advance AI-driven analytics, building systems that turn data into actionable insights. You’ll work on end-to-end analysis workflows, from hypothesis formation to drafting recommendations with proper evaluation and guardrails.

The role emphasizes building AI systems that transform how data science is done, including retrieval and evaluation loops to support reliable warehouse queries and proactive data issue detection.