LiteLLM Jobs
6 LiteLLM jobs currently listed
Browse 6 open positions that require LiteLLM 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
- 4 companies hiring
- Mostly Mid roles
- Often paired with Python, TypeScript, Kubernetes, Node.js
- Top locations: Amsterdam, Berlin, London
Market insights
Telnyx54 is currently the most active employer hiring for LiteLLM.
Seniority mix
- Mid 50%
- Senior 17%
- 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.
Telnyx54 1 month ago
Hybrid
Forward Deployed Engineer, Benelux
Amsterdam, Netherlands +2 - English, Dutch
Python Node.js TypeScript Go Kubernetes +13
Telnyx54 1 month ago
Hybrid
Forward Deployed Engineer, DACH
Munich, Germany - English, German
Python Node.js TypeScript Go Kubernetes +9
Telnyx54 1 month ago
Hybrid
Forward Deployed Engineer, UKI
London, United Kingdom - English
Python Node.js TypeScript Go Kubernetes +8
Scalable Capital 2 months ago
On-site
Engineering Manager - AI Engineering & AI Platform (m/f/x)
Berlin, Germany - English
Python Docker LLM
Frequently Asked Questions
- There are currently 6 open positions that list LiteLLM 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 LiteLLM 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.