Description

You will build and deploy agentic AI systems using A2A frameworks and the MCP Protocol on Azure Cloud.

This role is on-site.

Responsibilities

• Design and implement vector embeddings, prompt engineering, and context engineering solutions.
• Develop and manage Azure Functions and Azure Container Apps for scalable cloud-native architectures.
• Integrate and optimize databases including Azure AI Search, Redis, and Cosmos DB.
• Ensure system performance, scalability, and robustness in production environments.
• Collaborate on full-stack AI/ML engineering tasks across Python, Java, or Go.

Required Skills

• 12+ years of experience in AI/ML engineering.
• Hands-on experience with Agentic Layer A2A frameworks and MCP Protocol.
• Expertise in vector embeddings, prompt engineering, and context engineering.
• Strong programming skills in at least two of: Python, Java, Go.
• Proficiency in deploying solutions on Azure Cloud.
• Experience with Azure AI Search, Redis, and Cosmos DB.
• Strong understanding of cloud-native architecture, scalability, and performance optimization.

Preferred Skills

• Experience with Blob Storage and Iceberg in Cosmos DB.

Key Skills

Education

Any Graduate