Description

You will design, develop, and deploy intelligent AI-driven systems using modern agentic frameworks and protocols. This role focuses on building scalable AI/ML solutions with emphasis on prompt engineering, context engineering, and vector embeddings.

This role is hybrid.

Responsibilities

• Design and maintain cloud-native applications and services in Azure environments.
• Architect scalable solutions ensuring performance optimization, reliability, and maintainability.
• Develop and manage AI workloads using modern databases, search technologies, and distributed storage systems.
• Collaborate with cross-functional engineering teams to implement and optimize AI-powered applications.

Required Skills

• Hands-on experience with Agentic Layer, A2A Frameworks, and MCP Protocol.
• Strong expertise in AI/ML Engineering: Vector Embeddings, Prompt Engineering, Context Engineering.
• Strong programming experience in at least two of: Python, Java, or Go.
• Experience deploying and managing solutions on Azure Cloud.
• Proficiency with Azure Functions and Azure Container Apps.
• Experience with databases and storage technologies: Azure AI Search, Redis, Cosmos DB.
• Minimum 5+ years of experience in AI/ML engineering or related roles.

Preferred Skills

• Experience with Blob Storage and Iceberg.
• Experience designing scalable AI systems for enterprise applications.

Key Skills

Education

Bachelor's degree