Senior AI Search & Agentic Systems Engineer - Only W2

Job Description: Senior AI Search & Agentic Systems Engineer

Onsite - Santa Clara, CA

W2 Position

Required

We are looking for a Senior Software Engineer to design and build intelligent search and agentic automation systems that combine traditional full-stack engineering with modern AI capabilities. You'll work across the stack - from backend services and data pipelines to AI-driven retrieval and agent orchestration - to deliver high-impact, production-grade solutions.

Key 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.

Required Skills & Experience

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.

Nice to Have

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).

Soft Skills

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