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Job Title: Data Scientist – Agentic AI
Location: Woodland Hills, CA (Onsite/Hybrid)
Duration: Contract
Overview
We are seeking an experienced Data Scientist with strong expertise in Agentic AI frameworks to join our team. The ideal candidate will have hands-on experience with Agentic Layer A2A frameworks and MCP Protocol, along with deep knowledge in AI/ML engineering, cloud deployment, and scalable architecture design.
Key Responsibilities
Job Title: Data Scientist – Agentic AI
Location: Woodland Hills, CA (Onsite/Hybrid)
Duration: Contract
Overview
We are seeking an experienced Data Scientist with strong expertise in Agentic AI frameworks to join our team. The ideal candidate will have hands-on experience with Agentic Layer A2A frameworks and MCP Protocol, along with deep knowledge in AI/ML engineering, cloud deployment, and scalable architecture design.
Key Responsibilities
- Design and develop solutions using Agentic Layer A2A frameworks and MCP Protocol
- Build and optimize AI/ML models focusing on vector embeddings, prompt engineering, and context engineering
- Develop scalable and efficient solutions using Python, Java, or Go
- Deploy and manage applications on Azure Cloud environments
- Work with databases such as Azure AI Search, Redis, and Cosmos DB
- Design and manage Azure Functions and Azure Container Apps
- Ensure cloud-native architecture best practices including scalability and performance optimization
- Collaborate with cross-functional teams to deliver high-quality AI-driven solutions
- Troubleshoot and optimize production systems
- 8 years of hands-on experience in Data Science / AI domain
- 12 years of experience with Agentic Layer A2A frameworks and MCP Protocol
- 6 years of experience in AI/ML engineering (vector embeddings, prompt engineering, context engineering)
- Strong programming skills in at least two: Python, Java, Go
- Experience deploying solutions on Azure Cloud
- Experience with Azure AI Search, Redis, Cosmos DB (Blob Storage, Iceberg are a plus)
- Experience with Azure Functions and Azure Container Apps
- Strong understanding of cloud-native architecture, scalability, and performance optimization
- Experience with modern AI frameworks and LLM-based architectures
- Experience with large-scale distributed systems
- Exposure to advanced data engineering concepts
- Strong problem-solving and analytical skills
- Strong communication and collaboration skills
- Ability to work in fast-paced environments
- Ownership mindset and proactive approach
- Ability to translate business requirements into technical solutions