Lead Artificial Intelligence Engineer

Job Summary

We are hiring a Lead GenAI + DevOps to architect and scale enterprise AI systems built on Azure. This role combines deep expertise in LLMs, Retrieval-Augmented Generation (RAG), vector search architecture, and cloud DevOps practices.

You will lead development of production-grade GenAI systems, design hybrid retrieval pipelines, and manage AI workloads in a secure Azure environment.

Key Responsibilities

Core AI Architecture

• Design RAG pipelines (chunking embedding retrieval augmentation)
• Implement prompt engineering and LLM workflows
• Architect hybrid search systems (BM25 + vector + metadata filtering)
• Optimize semantic search relevance

Development

• Backend integration using Node.js
• Support AI-driven UI via React
• Manage conversation lifecycle logic
• Implement response analytics and feedback loops

Azure Infrastructure

• Azure Functions (event-driven serverless)
• Azure OpenAI & AI Search integration
• Cosmos DB / PostgreSQL vector storage
• Azure SQL / MSSQL administration
• Identity management with Azure CLI credentials
• Logic Apps workflow automation

DevOps / AIOps

• CI/CD pipelines for AI apps
• Docker containerization
• Azure DevOps pipelines
• AI workload monitoring
• Security & encryption handling

Document & Data Systems

• Document ingestion pipelines
• File lifecycle tracking
• Privacy & encryption controls
• Analytics KPIs for AI systems

Required Skills

• LLM + Prompt Engineering expertise
• RAG architecture mastery
• Vector database systems (pgvector, HNSW)
• Azure OpenAI ecosystem experience
• Node.js backend engineering
• DevOps automation experience