Our client is delivering an AI-driven MVP focused on intelligent document processing and retrieval-based question answering. The Senior AI / ML Engineer is responsible for implementing the full technical stack required for this MVP, covering data ingestion, processing pipelines, embeddings, and retrieval-augmented generation, in close collaboration with an AI Architect.

The role is highly execution-oriented, with a strong emphasis on production-ready AI components, performance, and integration within an enterprise cloud environment.

• Design and implement end-to-end data pipelines for document ingestion, parsing, metadata generation, and structured storage.
• Build and optimize embeddings, RAG indexes, search logic, and response generation mechanisms.
• Integrate AI components with Azure OpenAI, internal databases, and backend APIs.
• Develop and maintain backend services supporting AI and ML workflows.
• Collaborate closely with the AI Architect to align implementation with the overall solution architecture.
• Ensure code quality through testing, documentation, reviews, and performance optimization.
• Support integrated testing, validation, and MVP stabilization activities.