Senior AI/ML Engineer

Job Title: Senior AI/ML Engineer – GenAI & Cloud Solutions

Location: Woodland Hills, CA (Onsite)
Job Type: Contract

Top Skills:

GenAI | LLMs | Agentic AI | Python | Azure Cloud | Azure AI Search | MCP Protocol | Vector Embeddings | Cosmos DB | Healthcare Domain

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