Job Summary

Role: Senior Fullstack Data AI Search Engineer

We are looking for a hands-on Data AI Search Engineer to design and deliver a production-grade, AI-augmented enterprise search capability for a large international organisation. The engagement covers the full pipeline from raw data ingestion through to AI-generated, grounded answers surfaced via a conversational or search interface.

The right candidate combines deep Elasticsearch engineering with practical experience building Retrieval-Augmented Generation (RAG) pipelines and agentic AI workflows. This is an individual contributor role with direct impact on a critical knowledge management platform.
Role Overview

Experience: Senior (8+ years total; 6+ years in enterprise search / RAG / LLM applications)

Profile: Senior Data AI Search Engineer with hands-on expertise in RAG pipelines and agentic AI workflows.

Primary Focus: Elasticsearch + RAG + agentic AI workflows
Key Responsibilities
- Design and build scalable ingestion pipelines and connectors from enterprise sources including SharePoint, Liferay, web crawls,



Data Lakes, and corporate systems into Elasticsearch or equivalent search indexes.
- Support batch, incremental, and near-real-time indexing; implement change tracking, version management, source provenance, access permission mapping, and deletion event handling to keep the index accurate.
- Build document conversion pipelines for PDF, Word, Excel, PowerPoint, HTML, email, and scanned content; convert to structured Markdown and vector embeddings using tools such as Marker, Docling, or equivalent frameworks.
- Design semantic chunking strategies (chunk size, overlap, section-aware splitting, heading preservation, table handling) and implement metadata extraction, enrichment, and deduplication during ingestion.
- Develop hybrid search capabilities combining BM25 keyword search, semantic vector search, metadata filtering, and contextual retrieval.
- Build re-ranking pipelines using embedding model

📌 Sr Fullstack Data (India)
🏢 Sparix Global
📍 India