Description

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

Key Skills

Education

Any Graduate