AI Data Engineer (AI)

TL;DR

AI Data Engineer (AI): Building AI agents and internal systems to automate end-to-end data science workflows with an accent on retrieval infrastructure and evaluation loops. Focus on creating self-healing pipelines, AI-powered experiment analysis, and transforming the data team's operating model into an AI-native one.

Location: San Francisco or Remote (International)

Salary: $175k – $330k + Equity

Company

Perplexity is an AI-native search and information company building advanced AI systems for users who expect more.

What you will do

• Build AI agents capable of safely exploring data, forming hypotheses, and generating actionable recommendations.
• Develop retrieval infrastructure and evaluation loops to ensure AI systems query the data warehouse reliably.
• Automate the data lifecycle by building self-healing pipelines and automated dbt model generation and validation.
• Create AI-powered analysis tools to interpret A/B test results and draft ship/no-ship recommendations.
• Build internal data products and self-serve AI interfaces to replace ad hoc stakeholder requests.
• Own the full lifecycle from identifying high-leverage problems and prototyping with LLMs to production deployment.

Requirements

• 6+ years of experience in data science, analytics engineering, or data engineering.
• Production-oriented Python ability and deep SQL proficiency for complex analytics judgment.
• Hands-on experience building with frontier LLMs, AI agents, RAG systems, and evaluation loops.
• Fluency in data pipeline tools (dbt) and warehouse schema design.
• Strong product sense to turn prototypes into adopted internal products.
• Ability to work in the US or as an international employee based on regional market standards.

Nice to have

• Experience with Snowflake, semantic layers, or metadata systems.
• Proven track record of building internal tools, Slack bots, or developer productivity products.
• Strong background in experimentation, including metric design and statistical interpretation.
• Early-stage startup experience.

Culture & Benefits

• Comprehensive health, dental, and vision insurance.
• Equity grants and retirement savings options.
• Access to frontier AI infrastructure and top-tier technical talent.
• High-leverage environment with a small team and minimal approval layers.
• Fitness, commuter, and dependent care accounts for US employees.