Agentic AI Engineer

Job Title: Agentic AI Engineer
Location: Woodland Hills CA (Hybrid 3 Days/Week Onsite)

STAFFXPERT LLC is seeking an Agentic AI Engineer on behalf of our client in Woodland Hills CA. We are looking for a highly skilled and innovative AI professional with strong expertise in building and deploying AI-driven systems using modern agentic frameworks and cloud-native technologies. This opportunity is ideal for engineers passionate about developing scalable intelligent systems leveraging cutting-edge AI/ML technologies and cloud infrastructure.

The ideal candidate will bring hands-on experience in AI/ML engineering agentic frameworks cloud deployment and scalable architecture design to support enterprise-grade AI solutions.

• Design develop and deploy intelligent AI-driven systems using modern agentic frameworks and protocols.
• Build scalable and high-performing AI/ML solutions with a focus on prompt engineering context engineering and vector embeddings.
• Develop and maintain cloud-native applications and services in Azure environments.
• Architect scalable solutions ensuring performance optimization reliability and maintainability.
• Work with modern databases search technologies and distributed storage systems to support AI workloads.
• Collaborate with cross-functional engineering teams to design implement and optimize AI-powered applications.

• Hands-on experience with Agentic Layer A2A Frameworks and MCP Protocol.
• Strong expertise in AI/ML Engineering including:
  • Vector Embeddings
  • Prompt Engineering
  • Context Engineering
• Strong programming experience in at least two of the following:
  • Python
  • Java
  • Go
• Hands-on experience deploying and managing solutions on Azure Cloud.
• Experience working with databases and storage technologies such as:
  • Azure AI Search
  • Redis
  • Cosmos DB
  • Blob Storage (preferred)
  • Iceberg (plus)
• Strong experience with:
  • Azure Functions
  • Azure Container Apps
• Strong understanding of cloud-native architecture scalability and performance optimization.
• Excellent problem-solving and collaboration skills in a fast-paced engineering environment.

• Experience designing scalable AI systems for enterprise applications.
• Strong understanding of modern distributed systems and cloud-native application development.
• Exposure to performance tuning and optimization of AI-based applications.

• Hybrid work model with onsite collaboration required 3 days per week in Woodland Hills CA.