Description

• 8+ yrs hands-on experience in AI/ML Engineering / Distributed Systems
• Proven expertise with Agentic Layer A2A frameworks + MCP Protocol (must-have)
• Strong experience in vector embeddings, prompt engineering, and context engineering
• Strong programming in at least two: Python / Java / Go
• Hands-on deployment experience on Azure Cloud (must-have)
• Experience with Azure AI Search, Redis, Cosmos DB (Blob Storage / Iceberg – plus)
• Proven experience building and managing Azure Functions + Azure Container Apps
• Strong understanding of cloud-native architecture, scalability, and performance optimization
• Experience designing production-grade, scalable AI systems

Additional Skills: agentic ai, agentic layer a2a frameworks,mcp protocol, ai/ml engineering, vector embeddings

Must Have Skills

Skill 1 – Yrs of Exp – 12+ - Data Science - Agentic Layer A2A frameworks and MCP Protocol
Skill 2 - Yrs of Exp – 6+ - AI/ML engineering, specifically vector embeddings, prompt engineering, and context engineering
SKill 3 - Yrs Of Exp - 6+ - programming skills in at least two of the following: Python, Java, Go. Proficiency in deploying solutions on Azure Cloud
SKill 4 - Yrs Of Exp - 6+ - databases such as Azure AI Search, Redis, and Cosmos DB (Blob Storage and Iceberg are plus)
Skill 5 - Yrs of Exp - 6+ - ability to design and manage Azure Functions and Azure Container Apps & cloud-native architecture, scalability, and performance optimization

Key Skills

Education

Bachelor's degree