Experience: 4–6 Years
Location: Bangalore / Chennai
Job DescriptionWe are looking for an experienced AI/LLM Engineer with strong expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and building production-ready Generative AI applications.
Key Responsibilities• Design, develop, and deploy LLM-based applications using RAG architectures.
• Build document ingestion, preprocessing, chunking, embedding, and retrieval pipelines.
• Implement semantic search and vector database solutions for efficient information retrieval.
• Integrate LLMs with enterprise data sources, APIs, and applications.
• Optimize prompt engineering, retrieval accuracy, response quality, and application performance.
• Develop scalable AI solutions using Python and relevant ML/AI frameworks.
• Evaluate and improve LLM outputs, minimize hallucinations, and ensure reliable responses.
• Collaborate with cross-functional teams to deliver production-grade Generative AI solutions.





Required Skills• 4–6 years of experience in AI/ML, NLP, or relevant software development.
• Robust hands-on experience with LLMs and RAG implementations.
• Proficiency in Python.
• Experience with LLM frameworks such as LangChain or LlamaIndex.
• Hands-on experience with embeddings, vector databases, and semantic search.
• Knowledge of prompt engineering and LLM integration through APIs.
• Experience building and deploying AI applications in production environments.
• Understanding of REST APIs, data processing, and application integration.

Preferred Skills• Experience with cloud-based AI services such as AWS Bedrock, Azure OpenAI, or Google Vertex AI.
• Knowledge of RAG evaluation, reranking, hybrid search, and advanced retrieval techniques.
• Familiarity with Docker, CI/CD, and model/application monitoring.

📌 AI/LLM Engineer – RAG | 4-6 y | Bangalore, Chennai (Bengaluru)
🏢 Nasugroup.com
📍 Bengaluru