We are seeking an experienced Azure AI Engineer with strong expertise in building and deploying Generative AI solutions on Microsoft Azure. The ideal candidate must have hands-on experience designing and implementing Retrieval Augmented Generation (RAG) architectures, grounding Large Language Models (LLMs) with enterprise data, and developing scalable AI applications leveraging Azure AI services.
Required Skills
Generative AI & LLMs
- Strong experience working with Large Language Models (LLMs) and Generative AI solutions.
- Hands-on experience with Azure OpenAI Service.
- Experience building enterprise-grade RAG (Retrieval Augmented Generation) applications.
- Knowledge of prompt engineering, model grounding, hallucination mitigation, and AI evaluation techniques.
- Experience working with embeddings and semantic search.
Azure AI Services
- Azure OpenAI
- Azure AI Search (Cognitive Search)
- Azure AI Foundry / Azure AI Studio
- Azure Machine Learning (valuable to have)
- Azure AI Document Intelligence (good to have)
Data Grounding & Retrieval
- Experience implementing:
- Vector Search
- Vector Databases
- Embedding Models
- Semantic Search
- Hybrid Search
- Knowledge Retrieval Pipelines
- Hands-on experience with Azure AI Search for indexing and retrieval of enterprise content.
- Experience grounding AI/LLM applications using governed enterprise datasets.
Database Technologies
- Strong experience with Azure Cosmos DB.
- Experience storing and managing vectorized data.
- Knowledge of structured and unstructured data processing.
Development Skills
- Python programming.
- REST APIs and Microservices.
- LangChain, LlamaIndex, Semantic Kernel (preferred).
- Experience integrating AI services with business applications.
- Git, CI/CD, and Azure DevOps.
Key Responsibilities
- Design and build enterprise GenAI applications using Azure services.
- Develop and optimize RAG pipelines for knowledge retrieval.
- Implement vector search and embedding-based retrieval mechanisms.
- Build AI solutions leveraging Azure OpenAI, Azure AI Search, and Cosmos DB.
- Ground LLM responses using governed enterprise data sources.
- Collaborate with business and technical teams to deliver scalable AI solutions.
- Monitor, evaluate, and improve AI application performance and accuracy.
Mandatory Experience
- 4+ years of overall software/data engineering experience.
- Minimum 2+ years of hands-on experience in Generative AI/LLM projects.
- Proven experience with
- Azure OpenAI
- RAG Architecture
- Vector Search
- Embeddings
- Azure AI Search
- Cosmos DB
- Experience delivering production-grade AI applications.