Description

Key Responsibilities

• Design, develop, and deploy intelligent AI-driven systems using modern agentic frameworks and protocols.
• Build scalable and high-performing AI/ML solutions with a focus on prompt engineering, context engineering, and vector embeddings.
• Develop and maintain cloud-native applications and services in Azure environments.
• Architect scalable solutions ensuring performance optimization, reliability, and maintainability.
• Work with modern databases, search technologies, and distributed storage systems to support AI workloads.
• Collaborate with cross-functional engineering teams to design, implement, and optimize AI-powered applications.

Required Skills & Qualifications

• Hands-on experience with Agentic Layer, A2A Frameworks, and MCP Protocol.
• Strong expertise in AI/ML Engineering, including:
  • Vector Embeddings
  • Prompt Engineering
  • Context Engineering
• Strong programming experience in at least two of the following:
  • Python
  • Java
  • Go
• Hands-on experience deploying and managing solutions on Azure Cloud.
• Experience working with databases and storage technologies such as:
  • Azure AI Search
  • Redis
  • Cosmos DB
  • Blob Storage (preferred)
  • Iceberg (plus)
• Strong experience with:
  • Azure Functions
  • Azure Container Apps
• Strong understanding of cloud-native architecture, scalability, and performance optimization.
• Excellent problem-solving and collaboration skills in a fast-paced engineering environment.

Preferred Qualifications

• Experience designing scalable AI systems for enterprise applications.
• Strong understanding of modern distributed systems and cloud-native application development.
• Exposure to performance tuning and optimization of AI-based applications

Key Skills

Education

Bachelor's degree