AI ML Engineer
Core
Building secure, AI search and retrieval systems for large-scale enterprise document platforms using Azure AI Search and Azure OpenAI.
Role type
Senior IC machine-learning engineer (enterprise RAG)
Builds
Enterprise RAG platforms, AI search services, and orchestration APIs for internal applications
Domain
Enterprise software, AI search, Retrieval-Augmented Generation (RAG)
Deliverable
production ML models
Required skills
Python, LLMs, prompt engineering, Azure OpenAI SDKs, agentic systems, Model Context Protocol (MCP), cloud integration, REST APIs, containerization, Java, vector search, hybrid search, semantic ranking, embedding generation, security-aware retrieval, observability
Preferred skills
Designing enterprise RAG platforms, leading AI architecture decisions, multi-step retrieval for complex documents, mentoring engineers
Technologies
Azure AI Search, Azure OpenAI, Docker, Kubernetes, Java, Python
Responsibilities
Designing index structures for unstructured enterprise documents, implementing security controls and metadata filtering for search results, measuring and improving retrieval relevance and answer accuracy, integrating AI search into internal applications
Seniority
Senior, hands-on IC
