Applied AI Engineer: Build Scalable LLM Agents

Perplexity; New York (NY); On-site; USD 220,000 - 405,000; Full time

Job summary

Perplexity is seeking an Applied AI Engineer to design, build, and iterate on frontier agents powering our core Perplexity Computer experience. You will own the full model lifecycle from research to production, collaborating with engineers, PMs, data scientists, and designers to ship impactful AI features.

The role emphasizes state-of-the-art ML/LLM techniques, experimentation, and staying at the forefront of AI innovation to improve user experience and engagement.

Qualifications

• 5+ years building and shipping AI products for large-scale user-facing or data-driven apps.
• Strong software engineering skills in Python and production-quality codebases.
• Experience with end-to-end AI lifecycle: data analysis, evaluation, monitoring.

Responsibilities

• Apply state-of-the-art ML and LLM techniques to solve problems in personalization, recommendations and monetization.
• Build auto research harness for offline and online experiments; design metrics and experiments.

Skills

Python programming

Agent development

Cross-functional collaboration

ML lifecycle

Education

BS/MS/PhD in CS/Engineering

Tools

LLM tooling

Agentic coding tools

Job description

Perplexity is seeking an Applied AI Engineer to design, build, and iterate on frontier agents powering our core Perplexity Computer experience. You will own the full model lifecycle from research to production, collaborating with engineers, PMs, data scientists, and designers to ship impactful AI features.

The role emphasizes state-of-the-art ML/LLM techniques, experimentation, and staying at the forefront of AI innovation to improve user experience and engagement.