Jobs → Engineering → Full Stack AI Engineer

About the Role We are hiring a Full Stack AI Engineer to design, build, and operate production AI systems end to end. This role involves working across the full AI stack, including classical machine learning, deep learning, and modern generative AI. Key Responsibilities • Design, train, evaluate, and ship machine learning and deep learning models against well-defined business and scientific problems • Design and implement LLM-powered applications using major model providers • Build retrieval-augmented generation (RAG) systems, including chunking strategies, embeddings, and vector store selection • Develop agentic workflows with tool use and orchestration • Apply prompt engineering, fine-tuning, and structured output techniques • Build and maintain robust data and feature pipelines on Azure • Productionize models with sound MLOps practices • Use AI coding assistants effectively alongside traditional manual coding • Deploy and operate services on Azure using containers, orchestration, and infrastructure-as-code • Instrument AI systems with logging, tracing, and evaluation pipelines • Partner with security and compliance to address data privacy and model risk • Work directly with product, scientific, and business stakeholders to scope problems and set expectations