RAG Jobs
13 RAG jobs currently listed
Browse 13 open positions that require RAG experience. Every listing includes the full tech stack, language requirements, remote policy, and salary data, so you can filter with confidence instead of guessing from job descriptions.
By the numbers
- 10 companies hiring
- Mostly Senior roles
- Often paired with LLM, Python, Node.js, Machine Learning
- Top locations: Berlin, London, Lausanne
What you'll find here
Each job includes structured data from the original posting. You can see exactly which technologies are required vs. nice-to-have, whether the role is remote-friendly, and what salary range to expect, all without reading through pages of job descriptions.
Staff Software Engineer - Supernal
English
Principal Software Engineer - Agent Builder - Search
United Kingdom (Remote) - English
Engineering Manager
London, United Kingdom - English
Senior AI Engineer
Berlin, Germany (Remote) - English
Senior Forward Deployed Engineer (AI Agent) - UK
United Kingdom (Remote) - English
Senior Forward Deployed Engineer (AI Agent) - Germany
Berlin, Germany - English
AI Language Engineer
United Kingdom (Remote) - English
Lead (AI) Product Engineer (d/f/m)
Berlin, Germany - English
AI & ML Engineer
Lausanne, Switzerland - English
Senior Frontend Engineer – Greenfield Product (Angular)
Berlin, Germany - English
Senior Backend Engineer (Node.js / NestJS) – Greenfield Product
Berlin, Germany - English
Frequently Asked Questions
- There are currently 13 open positions that list RAG as a required skill. This number updates daily as new jobs are posted.
- We analyze every job description to identify the specific technologies mentioned. We distinguish between technologies that are required, nice-to-have, or explicitly not used, so you get an accurate picture of each role's tech stack.
- Yes. Jobdex supports negative filtering, which lets you exclude specific technologies from your search. For example, you can find RAG jobs that don't use a particular framework or language.
- When a company includes salary in their job posting, we use that directly. Otherwise, we parse salary information from the job description. Each salary figure gets a confidence score. High-confidence data is shown prominently, while less certain figures are clearly marked.