RAG Jobs
6 RAG jobs currently listed
Browse 6 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
- 6 companies hiring
- Mostly Senior roles
- Often paired with Python, LLM, Machine Learning, SQL
- Top locations: Berlin, Ismaning, London
- 1 new in the last 7 days
Market insights
Areto is currently the most active employer hiring for RAG.
Seniority mix
- Senior 67%
- Lead 17%
- Staff 17%
Top hiring companies
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.
GetYourGuide 4 weeks ago
Hybrid
Senior Data Scientist, Growth Data Products
Berlin, Germany - English
Machine Learning pandas Polars SQL Spark +1
Yazio 1 month ago
Remote
Senior Internal Tooling Engineer
Remote (4 countries) - English
Go htmx Python LLM RAG +2
Cint 3 months ago Open for 95+ days
Remote
Senior Data Scientist (AI & Synthetic Intelligence)
London, United Kingdom (Remote) - English
Python SQL LLM Machine Learning
Infinity Constellation 3 months ago Open for 109+ days Reposted 2 time(s)
Remote
Staff Software Engineer - Supernal
English
Python Django PostgreSQL Kubernetes Helm +3
Frequently Asked Questions
- There are currently 6 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.