This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a RAG Engineers + AI Developers based in India.

We are looking for an experienced AI skilled to build and optimize production-grade Retrieval-Augmented Generation (RAG) systems for complex enterprise knowledge environments. You will work across the full RAG lifecycle, from document ingestion and intelligent parsing to retrieval, reranking, evaluation, and application integration. The role offers the opportunity to work with Large Language Models, vector databases, semantic search, and modern AI frameworks. You will help improve the accuracy, relevance, speed, and reliability of AI-powered applications while reducing hallucinations. The environment is technically challenging and suited to engineers who enjoy solving complex problems involving unstructured data and information retrieval. You will collaborate across AI and data engineering initiatives to deliver scalable, customer-facing solutions.

Accountabilities:




- Design and develop end-to-end RAG pipelines covering document ingestion, OCR processing, semantic chunking, metadata extraction, embedding generation, retrieval, and response generation.
- Build and optimize vector and hybrid search solutions using technologies such as Pinecone, Qdrant, Weaviate, and OpenSearch.
- Implement advanced retrieval strategies, including query rewriting, multi-query expansion, hybrid keyword-vector search, and cross-encoder reranking.
- Develop robust document processing and knowledge ingestion workflows capable of handling complex and unstructured enterprise data.
- Integrate RAG and retrieval components into customer-facing conversational interfaces, enterprise search platforms, and other AI-powered applications.
- Establish automated evaluation and benchmarking frameworks to measure retrieval performance, context precision, answer relevance, faithfulness, and overall system quality.
- Continuo

📌 RAG Engineers + AI Developers (India)
🏢 Jobgether
📍 India