RAG Developer

Job description

Perplexity is hiring a RAG Developer (Full-time) remote (US). This llm engineer role is part of the AI hiring market in Remote (US) (United States). RAG developer jobs focused on citation-grounded answers, index freshness, and latency for a US remote answer engine team. Listed compensation: $155k – $215k / year. Stack: RAG, LLM, Search, Python.

LLM Engineer profiles are in high demand in Remote (US): Fully remote US roles: LLM Engineer, MLOps, Data Scientist, and AI Product Manager. Apply from any state.…

The team

Perplexity — AI team

Responsibilities

• Deliver production ML/LLM features with clear evals and monitoring
• Collaborate with product, design, and infra on roadmap priorities
• Document architecture decisions and mentor junior engineers where relevant

Requirements

• 3+ years shipping ML, LLM, or data systems in production
• Strong Python or TypeScript and communication skills
• Comfort with evals, observability, and responsible AI practices

Tech stack

Benefits

Hiring process

1. 1Recruiter screen (30 min)
2. 2Technical interview
3. 3Team conversation
4. 4Offer

Experience: Mid · 3+ years · Education: BS/MS CS, ML, or equivalent experience

FAQ — RAG Developer

What is the salary for RAG Developer at Perplexity?

Listed range: $155k – $215k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.

Where is the RAG Developer role based?

US remote role. The team may be headquartered in Remote · US.

How do I apply to Perplexity?

Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0010. Process: Recruiter screen (30 min) → Technical interview → Team conversation → Offer.

Is Perplexity hiring other AI roles?

Perplexity (Consumer AI) hires across LLM, ML, data, and AI product. See all openings on the Ganloss company page.

Your profile is sent directly to Perplexity's hiring team.