Description

Job Description:

We are seeking a  Senior AI/ML Engineer  with strong experience in  Generative AI, Agentic AI, Azure Cloud, and Large Language Models (LLMs) . The ideal candidate will design, develop, and deploy enterprise-scale AI solutions while working closely with engineering and business teams.

Key Responsibilities:

• Design and build scalable AI/ML and Generative AI solutions
• Develop Agentic AI applications using A2A frameworks and MCP Protocol
• Build and optimize RAG, vector embedding, prompt engineering, and context engineering solutions
• Deploy and manage AI workloads on Azure Cloud
• Develop cloud-native applications using Azure Functions and Container Apps
• Design data solutions using Azure AI Search, Redis, Cosmos DB, Blob Storage, and Iceberg
• Fine-tune and optimize LLMs for enterprise use cases
• Ensure scalability, security, and performance of AI applications
• Collaborate with cross-functional teams and mentor junior engineers
• Support healthcare-focused AI solutions with compliance and security requirements

Required Skills:

• Strong experience with Generative AI, LLMs, and Agentic AI frameworks
• Hands-on experience with MCP Protocol and multi-agent architectures
• Advanced Python development experience
• Strong Azure Cloud experience
• Experience with Azure AI Search, Redis, Cosmos DB, and cloud-native architectures
• Experience with vector databases, embeddings, RAG, and prompt engineering
• Knowledge of microservices, containers, and serverless technologies
• Experience working in Healthcare or other regulated environments

Preferred Qualifications:

• Bachelor's or Master's degree in Computer Science, AI/ML, or related field
• Azure AI Engineer or Azure Solutions Architect certification
• Experience contributing to AI/ML research, publications, or open-source projects

Key Skills

Education

Any Graduate