We are looking for a robust Azure AI/GenAI Engineer with hands-on experience building
enterprise Generative AI and Agentic AI solutions on Microsoft Azure
Key Responsibilities
Experience: 4+ years
Primary Requirement: Candidate must be a hands-on Azure AI/GenAI Engineer capable
of developing production-grade GenAI and Agentic AI solutions. Data Engineering should
be a secondary capability; we are not looking for a pure Data Engineer with only basic
GenAI exposure.
Good to Have: Multi-agent architectures, MCP, Semantic Kernel, Azure Functions,
Container Apps/AKS, Microsoft Fabric and relevant Azure AI certifications.
Vendor Screening Priority: Azure AI Foundry + Azure OpenAI + Python + RAG + Azure AI
Search + Agentic AI should form the core skill set. Databricks/ADF/Fabric/Data
Engineering experience is an added advantage.
Skill Requirements
Primary Skills – Azure AI / GenAI (75–80%)
- Azure AI Foundry
- Azure OpenAI / LLM integration
- AI Agents & Agentic AI development
- RAG architectures
- Azure AI Search
- Embeddings & Vector Search
- Prompt Engineering
- Function / Tool Calling
- Python & REST APIs
- Responsible AI, security & guardrails
- LLM evaluation, monitoring and observability
Secondary Skills – Azure Data Engineering (20–25%)
- Azure Databricks & PySpark
- Azure Data Factory (ADF)
- Microsoft Fabric / Synapse Analytics
- ADLS Gen2
- Delta Lake / Lakehouse
- SQL & Data Modelling
- Microsoft Purview
- ETL/ELT, IAM & CI/CD