RAG Engineer — Developer AI

Job description

Stripe is hiring a RAG Engineer — Developer AI (Full-time) hybrid. This llm engineer role is part of the AI hiring market in San Francisco (California). RAG architect patterns for internal developer copilots — docs retrieval, eval harnesses, and safe tool calling. Listed compensation: $170k – $235k / year. Stack: RAG, LLM, TypeScript, Python.

LLM Engineer profiles are in high demand in San Francisco: San Francisco and the Bay Area host the largest share of US AI hiring: LLM, MLOps, foundational research, and GenAI products. OpenAI partners, Databricks, Scale AI, and hundreds of…

The team

Stripe — 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

Salary guide — LLM Engineer in San Francisco →

FAQ — RAG Engineer — Developer AI

What is the salary for RAG Engineer — Developer AI at Stripe?

Listed range: $170k – $235k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.

Where is the RAG Engineer — Developer AI role based?

San Francisco, CA, San Francisco (California). Work mode: Hybrid.

How do I apply to Stripe?

Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0011. Process: Recruiter screen (30 min) → Technical interview → Team conversation → Offer.

Is Stripe hiring other AI roles?

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

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