Applied AI Engineer: Build Frontier Agents & Personalization

Perplexity; Palo Alto (CA); On-site; USD 220,000 - 405,000; Full time

Job summary

Perplexity is seeking an Applied AI Engineer to design, build, and iterate on agents powering our core experience. You will develop frontier context layer applications that fulfill the curiosity of millions of users worldwide.

You will own the full model lifecycle from research to production, collaborating with engineers, PMs, data scientists, and designers to ensure our AI drives meaningful product improvements and stay at the forefront of AI innovation by evaluating and integrating new methods

Qualifications

• 5+ years shipping AI products for large-scale applications.
• Strong Python and production-quality code experience.
• Experience with the full AI lifecycle: data analysis, rigorous evaluation, monitoring.

Responsibilities

• Apply state-of-the-art ML/LLM techniques to solve problems spanning personalization, contextual recommendations and monetization.
• Build auto research harness for offline and online experiments with clear metrics.
• Own the model lifecycle from research to production: data analysis, modeling, evaluation, A/B testing, iteration.

Skills

Python

Team collaboration

ML lifecycle

Research to production

Agentic tools

Education

BS/MS/PhD in CS/Engineering or related field

Tools

Agentic coding tools

Job description

Perplexity is seeking an Applied AI Engineer to design, build, and iterate on agents powering our core experience. You will develop frontier context layer applications that fulfill the curiosity of millions of users worldwide.

You will own the full model lifecycle from research to production, collaborating with engineers, PMs, data scientists, and designers to ensure our AI drives meaningful product improvements and stay at the forefront of AI innovation by evaluating and integrating new methods