DevJobs

Data Engineer (LLM & NLP)

Overview
Skills
  • SQL SQL
  • Python Python
  • Spark Spark
  • Kafka Kafka
  • NoSQL NoSQL
  • Azure Azure
  • GCP GCP
  • AWS AWS
  • LLM
  • NLP
  • ETL
  • ELT
  • MLOps
  • FAISS
  • Pinecone
  • DataOps
  • Weaviate

Data Engineer | LLM & NLP


Who are we?

Our mission is to create powerful, data-driven applications and models that help our clients innovate and grow. Our projects are cutting-edge, combining technology, data, and operational needs to deliver impactful solutions.

We are looking for a talented Data Engineer to join our data team and play a key role in building scalable data pipelines and advanced AI-driven solutions.

This role combines strong data engineering foundations with hands-on experience in LLM and NLP-based systems.


Responsibilities

  • Design, develop, and maintain scalable ETL / ELT pipelines
  • Build and optimize data infrastructures to support machine learning, NLP, and LLM models
  • Work with structured and unstructured data (text, logs, documents, APIs)
  • Collaborate closely with Data Scientists, ML Engineers, and Product teams
  • Implement data validation, monitoring, and performance optimization
  • Support model training, inference pipelines, and production deployments
  • Ensure data quality, reliability, and security across the data stack


Requirements

  • Proven experience as a Data Engineer
  • Strong experience developing ETL processes and data pipelines
  • Hands-on experience working with LLM models and NLP workflows
  • Strong programming skills in Python (SQL – a must)
  • Experience with cloud platforms (AWS / GCP / Azure)
  • Familiarity with big data technologies (Spark, Kafka – advantage)
  • Experience working with databases (SQL / NoSQL)
  • Ability to work in a fast-paced, cross-functional environment


Advantages

  • Experience with vector databases (Pinecone, Weaviate, FAISS, etc.)
  • Experience with MLOps / DataOps
  • Experience deploying LLM-based solutions to production
  • Background in AI-driven or data-intensive products


Location: Tel Aviv, On-site

🕒 Full-time

Webiks