Description

You will design and build generative AI applications using LLMs and agentic frameworks.

You will own the full lifecycle from prompt engineering to deployment on Azure infrastructure.

Responsibilities

• Develop agentic AI systems and implement Model Context Protocol (MCP).
• Engineer prompts and manage context for large language models.
• Build scalable microservices using Python, Azure Functions, and Kubernetes.
• Implement vector search and embedding solutions with Azure AI Search and Redis.
• Ensure compliance with healthcare data standards (HIPAA/GDPR).

Required Skills

• 5+ years of experience with Python and microservices architecture.
• Hands-on expertise with Generative AI, LLMs, and Agentic AI patterns.
• Strong knowledge of Prompt Engineering and Context Engineering.
• Proficiency with Azure Cloud services: Azure OpenAI, Azure AI Search, Cosmos DB.
• Experience with containerization and orchestration: Kubernetes, Azure Container Apps.
• Understanding of vector embeddings and Redis for caching/search.
• Knowledge of MCP (Model Context Protocol).

Preferred Skills

• Experience in the Healthcare domain with HIPAA/GDPR compliance.
• Background in Machine Learning model training and fine-tuning.

Key Skills

Education

Any Gradute