
RAG Engineer — Dropbox Dash
- Salary
- $155k – $210k / year
- Type
- Full-time
- Location
- San Francisco, CA · San Francisco (California) · Hybrid
- Valid through
- 11/25/2026
Additional details
- Posted
- Posted today
- Applications
- 23
- on Ganloss
- Experience
- Mid · 3+ years
- Education
- BS/MS CS, ML, or equivalent experience
- Region
- California
- Team
- Dropbox — AI team
- Company size
- 2500+
- Founded
- 2007
Job description
Dropbox is hiring a RAG Engineer — Dropbox Dash (Full-time) hybrid. This llm engineer role is part of the AI hiring market in San Francisco (California). Dropbox Dash RAG engineer — enterprise knowledge retrieval, citations, and permission-aware search in San Francisco. Listed compensation: $155k – $210k / year. Stack: Dropbox Dash, RAG, LLM, Python, Search.
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
Dropbox — AI team
Responsibilities
- Ship production AI features with clear quality, latency, and safety bars
- Partner with product, design, and infra on roadmap priorities
- Document evals, monitoring, and responsible AI practices
Requirements
- 3+ years shipping ML, LLM, or data systems in production (or strong internship + portfolio)
- Strong Python or TypeScript and clear written communication
- Comfort with evals, observability, and cross-functional US teams
Tech stack
Benefits
Hiring process
- 1Recruiter screen
- 2Technical interview
- 3Team conversation
- 4Offer
Experience: Mid · 3+ years · Education: BS/MS CS, ML, or equivalent experience
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FAQ — RAG Engineer — Dropbox Dash
- What is the salary for RAG Engineer — Dropbox Dash at Dropbox?
- Listed range: $155k – $210k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.
- Where is the RAG Engineer — Dropbox Dash role based?
- San Francisco, CA, San Francisco (California). Work mode: Hybrid.
- How do I apply to Dropbox?
- Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0015. Process: Recruiter screen → Technical interview → Team conversation → Offer.
- Is Dropbox hiring other AI roles?
- Dropbox (Productivity AI) hires across LLM, ML, data, and AI product. See all openings on the Ganloss company page.
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