Description

You will engineer and deploy advanced machine learning solutions, focusing on agentic frameworks and cloud-native architecture.

This role is hybrid.

Responsibilities

• Engineer solutions utilizing Agentic Layer A2A frameworks and MCP Protocol.
• Design and manage scalable deployments using Azure Functions and Azure Container Apps.
• Implement and optimize systems using vector embeddings, prompt engineering, and context engineering.
• Develop and maintain data retrieval and storage solutions leveraging Azure AI Search, Redis, and Cosmos DB.

Required Skills

• 10+ years of professional experience in AI/ML engineering.
• Proficiency in Python, Java, and Go (must be proficient in at least two).
• Hands-on experience with Azure Cloud deployment.
• Expertise in vector embeddings, prompt engineering, and context engineering.
• Experience with Azure AI Search and Redis.
• Strong understanding of cloud-native architecture and performance optimization.
• Ability to design and manage serverless and containerized applications.

Key Skills

Education

Any Graduate