Senior AI Engineer – LLM, RAG
Core
Lead the development of Retrieval-Augmented Generation (RAG) systems that combine LLMs with real-world knowledge sources to create intelligent assistants for industrial troubleshooting.
Role type
Senior IC machine-learning engineer (LLM/RAG)
Builds
Production-grade RAG systems and AI-powered assistants for technicians in industrial settings
Domain
Industrial automation, NLP, foundational models
Deliverable
production ML models
Required skills
LLM architecture design, RAG pipeline development, prompt engineering, instruction tuning, semantic search, vector database integration, reinforcement learning, PyTorch, Python
Preferred skills
Agentic RAG, industrial domain knowledge, multimodal model integration, startup product experience
Technologies
LangChain, LlamaIndex, FAISS, Weaviate, Pinecone, Hugging Face Transformers, LLAMA, Falcon, Mistral, GPT, Claude
Responsibilities
Architect and develop RAG systems combining LLMs with external information sources; build pipelines to ingest and index large document corpora; customize and fine-tune foundational models for industrial scenarios; design evaluation strategies for RAG system performance; integrate AI systems into real-world applications with operational constraints
Seniority
Senior, hands-on IC