AI / Machine Learning Engineer – LLM, RAG & NLP (m/w/d)
Core
Design, develop, and deploy scalable NLP/LLM applications (chatbots, semantic search, knowledge systems) and RAG pipelines for diverse industry clients.
Role type
Senior AI/ML Engineer (LLM, RAG, NLP)
Builds
Production-ready NLP/LLM applications and RAG pipelines
Domain
Generative AI, NLP, Cloud
Deliverable
production ML models
Required skills
Python, NLP/NLU, Large Language Models, RAG architectures, Embeddings, Vectors databases, LangChain, LangGraph, Cloud AI services, Software Engineering
Preferred skills
Azure AI Foundry, LLM Agents, Hugging Face Transformers, FastAPI, Docker, Git, CI/CD, MLflow
Technologies
Python, LangChain, LangGraph, Azure, FastAPI, Docker, Git, CI/CD, MLflow, Hugging Face, Azure AI Search, Azure Functions, Azure ML
Responsibilities
Develop and optimize RAG pipelines including embeddings and retrieval strategies; Integrate and orchestrate LLMs and complex workflows; Build robust Python applications and APIs for AI integration; Evaluate and optimize models for quality, latency, and cost; Deploy and monitor production AI applications; Collaborate with software, cloud/DevOps, and product teams.
Seniority
Senior, hands-on IC
