FAISS Jobs

5 FAISS jobs currently listed

Browse 5 open positions that require FAISS 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 Senior roles
  • Often paired with Python, Weaviate, LLM, Kubernetes
  • Top locations: Berlin

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.

Abinbev 2 months ago
Remote

AI Engineer | BEES Personalization

English

Python C++ Go LangChain LangGraph +14
Bio 5 months ago Open for 152+ days
Remote

AI Engineer

English

Python TypeScript FastAPI gRPC GraphQL +17
Thirdlaw 12 months ago Open for 379+ days
Remote

Backend / Platform Engineer, AI Analytic Engines

English

Python Go Kafka Pulsar Redis Streams +8
Thirdlaw 19 months ago Open for 590+ days
Remote

LLM Evaluation Engineer

English

Python LLM FAISS Qdrant Weaviate +4
Beroe Inc
Hybrid

AI Engineer (Agentic AI & LLM Systems)

Berlin, Germany - English

Python Claude OpenAI LLaMA Mistral +5

Frequently Asked Questions

How many FAISS jobs are available right now?
There are currently 5 open positions that list FAISS as a required skill. This number updates daily as new jobs are posted.
How do you know a job requires FAISS?
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.
Can I filter out jobs that use certain technologies?
Yes. Jobdex supports negative filtering, which lets you exclude specific technologies from your search. For example, you can find FAISS jobs that don't use a particular framework or language.
Are salary ranges accurate?
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.