Senior AI Search & Agentic Systems Engineer

Design and deploy Claude-based agents and Claude Skills to automate workflows, orchestrate multi-step tasks, and integrate with internal/external systems. Architect and optimize search solutions using Elasticsearch and Azure AI Search, including index design, query performance tuning, and relevance optimization.

Our client, a IT Services and Consulting company, is looking for a Senior AI Search & Agentic Systems Engineer for their Santa Clara, CA location.
 
Responsibilities:

• Design, develop, and maintain backend services using Java (Spring Boot) and Python, ensuring scalability, reliability, and performance.
• Build and enhance React.js front-end applications with clean, responsive, and intuitive user interfaces.
• Architect and optimize search solutions using Elasticsearch and Azure AI Search, including index design, query performance tuning, and relevance optimization.
• Implement Retrieval-Augmented Generation (RAG) pipelines to power intelligent search and Q&A experiences, integrating vector search with LLM-based generation.
• Design and deploy Claude-based agents and Claude Skills to automate workflows, orchestrate multi-step tasks, and integrate with internal/external systems.
• Develop and manage data models and queries using PostgreSQL, ensuring efficient schema design and query performance.
• Collaborate with cross-functional teams (product, data, DevOps) to translate business requirements into technical solutions.
• Ensure best practices in code quality, testing, security, and CI/CD across all systems.
• Monitor, troubleshoot, and optimize system performance in production environments.

 
Requirements:

• Strong proficiency in Python and Java (Spring Boot or equivalent frameworks).
• Hands-on experience with React.js for front-end development.
• Deep expertise in Elasticsearch — index design, aggregations, query DSL, performance tuning.
• Experience with Azure AI Search (formerly Cognitive Search) — semantic search, vector indexing, hybrid search.
• Practical experience building RAG (Retrieval-Augmented Generation) systems, including embedding generation, vector stores, and LLM integration.
• Experience building or integrating Claude agents and Claude Skills (or similar LLM agent frameworks) for task automation.
• Solid experience with PostgreSQL — schema design, optimization, and query writing.
• Understanding of API design (REST/GraphQL) and microservices architecture.
• Familiarity with cloud platforms (Azure preferred; AWS/GCP a plus).
• Strong proficiency in Python and Java (Spring Boot or equivalent frameworks).
• Hands-on experience with React.js for front-end development.
• Deep expertise in Elasticsearch — index design, aggregations, query DSL, performance tuning.
• Experience with Azure AI Search (formerly Cognitive Search) — semantic search, vector indexing, hybrid search.
• Practical experience building RAG (Retrieval-Augmented Generation) systems, including embedding generation, vector stores, and LLM integration.
• Experience building or integrating Claude agents and Claude Skills (or similar LLM agent frameworks) for task automation.
• Solid experience with PostgreSQL — schema design, optimization, and query writing.
• Experience with Kubernetes and containerized deployments.
• Exposure to enterprise data pipelines (Databricks, Hadoop, or similar).
• Prior experience integrating LLM-based tools into enterprise workflows (LMS, CRM, ERP systems).
• Strong problem-solving and analytical thinking.
• Ability to work independently and collaboratively in a fast-paced environment.
• Excellent communication skills to work across engineering, product, and business teams.
• Years of Experience:   10-15 Years of Experience

 
Why Should You Apply?

• Health Benefits
• Referral Program
• Excellent growth and advancement opportunities