Agentic AI

Location - Woodland Hills, CA We are looking for 8+ Years of experienced Hands-on experience with Agentic Layer A2A frameworks and MCP Protocol. Expertise in AI/ML engineering, specifically vector embeddings, prompt engineering, and context engineering. Strong programming skills in at least two of the following: Python, Java, Go. Proficiency in deploying solutions on Azure Cloud. Experience with databases such as Azure AI Search, Redis, and Cosmos DB (Blob Storage and Iceberg are plus). Prove

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 aSenior AI/ML Engineerwith strong experience inGenerative AI, Agentic AI, Azure Cloud, and Large Language Models (LLMs). The ideal candidate will design, develop, and deploy enterprise-scale AI soluti

Hi, Role: Data Science - Agentic AI (Need Locals) Duration: 6-12+ Months Contract Location: Woodland Hills, CA Must Have Skills Skill 1 Yrs of Exp 12+ - Data Science - Agentic Layer A2A frameworks and MCP Protocol Skill 2 - Yrs of Exp 6+ - AI/ML engineering, specifically vector embeddings, prompt engineering, and context engineering SKill 3 - Yrs Of Exp - 6+ - programming skills in at least two of the following: Python, Java, Go. Proficiency in deploying solutions on Azure Cloud SKill 4 - Yrs Of

Key Responsibilities Architect and Design: Lead the design of scalable, secure, and high-performance AI/ML systems leveraging Agentic Layer A2A frameworks and MCP Protocols. Solution Engineering: Drive end-to-end solution development including vector embeddings, prompt engineering, and context engineering for enterprise-grade GenAI applications. Cloud Deployment: Architect and oversee deployment of AI/ML workloads on Azure Cloud, ensuring compliance, scalability, and cost optimization. Data Arch