RAG / Generative AI Engineer
Company: Empedance Consultancy Services Pvt Ltd
Job Type: Full-time
Experience: 3–4 years
Seniority Level: Mid-Senior level
Workplace Type: Remote
Location: Bengaluru, Karnataka, India
? Immediate Joiner Required
We are looking for a RAG / Generative AI Engineer with 3–4 years of overall IT/software development experience, including 1–2 years of hands-on experience building RAG applications.
Immediate joiners are strongly required for this position.
About the Role
The ideal candidate should have practical experience developing LLM-powered applications and a strong understanding of the complete Retrieval-Augmented Generation (RAG) pipeline, including document ingestion, preprocessing, chunking, embeddings, vector search, retrieval, reranking, prompt construction, LLM generation, evaluation, and deployment.
This is a hands-on engineering role focused on developing and optimizing production-ready AI/RAG applications.
Key Responsibilities
Design and develop end-to-end RAG pipelines.
Build document ingestion and processing pipelines for PDFs, documents,



web content, and other data sources.
Implement document chunking, metadata extraction, embedding generation, and indexing.
Develop semantic and hybrid search using vector databases.
Implement retrieval optimization techniques such as metadata filtering, query transformation, and reranking.
Integrate LLMs, embedding models, and AI APIs.
Develop RAG applications using LangChain / LangGraph.
Evaluate and improve retrieval accuracy, response quality, latency, and cost.
Reduce hallucinations and improve contextual relevance.
Develop APIs and backend services for AI applications.
Deploy and maintain AI/RAG applications in production.
Required Qualifications
3–4 years of overall experience in IT/software development.
1–2 years of hands-on experience in RAG / Generative AI.
Immediate joiner required.
Strong proficiency in Python.
Hands-on experience with LangChain.
Robust understanding of RAG architec

📌 RAG / GenAI Engineer (India)
🏢 Empedance
📍 India