Job Title: Senior AI/ML Engineer – GenAI & Cloud Solutions
Location: Woodland Hills, CA (Onsite)
Job Type: Contract
GenAI | LLMs | Agentic AI | Python | Azure Cloud | Azure AI Search | MCP Protocol | Vector Embeddings | Cosmos DB | Healthcare Domain
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.
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
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
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
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