LLM Engineer — RAG

Job description

Cohere is hiring a LLM Engineer — RAG (Full-time) hybrid. This llm engineer role is part of the AI hiring market in San Francisco (California). Build retrieval and tool-use features for enterprise Cohere deployments. Listed compensation: $150k – $210k / year. Stack: RAG, Python, Embeddings, Enterprise.

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

Cohere — AI team

Responsibilities

• Ship production AI features with measurable quality and latency targets
• Partner with product and design on roadmap and customer feedback
• Improve observability, evals, and safe rollout practices

Requirements

• Strong Python or TypeScript fundamentals and 3+ years relevant experience
• Hands-on LLM, ML, or data platform work in production
• Clear written communication and async collaboration

Tech stack

Benefits

Hiring process

1. 1Recruiter screen (30 min)
2. 2Technical interview (60 min)
3. 3Team fit
4. 4Offer

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

Salary guide — LLM Engineer in San Francisco →

FAQ — LLM Engineer — RAG

What is the salary for LLM Engineer — RAG at Cohere?

Listed range: $150k – $210k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.

Where is the LLM Engineer — RAG role based?

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

How do I apply to Cohere?

Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0027. Process: Recruiter screen (30 min) → Technical interview (60 min) → Team fit → Offer.

Is Cohere hiring other AI roles?

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

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