Job Title - Senior Fullstack Data & AI Search Engineer
Experience Required - 8+ Years
Timezone - Approx 1:00 PM / 2:00 PM and 10:00 PM / 11:00 PM IST (CET Time Zone)
Work Mode - RemoteProfile: Senior Data & AI Search Engineer with hands-on expertise in RAG pipelines and agentic AI workflows
Primary Focus: Elasticsearch + RAG + agentic AI workflows
Experience: Senior (8+ years total; 6+ years in enterprise search / RAG / LLM applications)

Role Overview:
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.





Key Responsibilities
Data Engineering and Ingestion
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.
Retrieval and Search
De

📌 Senior Fullstack Data Kochi
🏢 VGreenTek
📍 Kochi