AI / Machine Learning Engineer – LLM, RAG & NLP (m/w/d)
Core
Design, develop, and deploy scalable NLP and LLM-based applications (chatbots, semantic search, document processing) using RAG pipelines and generative AI.
Role type
Senior IC Machine Learning Engineer (LLM, RAG, NLP)
Builds
Production-ready AI applications and customer-specific solutions
Domain
Generative AI, Large Language Models, NLP, Cloud
Deliverable
production ML models
Required skills
Python, NLP/NLU, Large Language Models, RAG architectures, Embeddings, Vectors databases, LLM frameworks (LangChain, LangGraph), Cloud AI solutions, Software Engineering principles
Preferred skills
Azure AI Foundry, LLM Agents, Hugging Face Transformers, FastAPI, Docker, Git, CI/CD, MLflow, React
Technologies
Python, LangChain, LangGraph, Azure, FastAPI, Docker, Git, Hugging Face, MLflow, React
Responsibilities
Develop and optimize RAG pipelines with embeddings and vector search; Integrate and orchestrate LLMs and complex workflows; Build robust Python APIs for AI component integration; Evaluate and optimize models for quality, latency, and cost; Deploy and monitor production AI applications; Collaborate with software engineering and product teams
Seniority
Senior, hands-on IC