Job description

About the Role

We are looking for a passionate and driven AI Engineer (Intern/Fresher/Experienced) with hands-on experience or strong academic exposure in RAG (Retrieval-Augmented Generation) approaches. You will work closely with our AI and product teams to design, prototype, and optimize intelligent solutions that integrate language models with structured/unstructured knowledge sources. This is a great opportunity to build impactful AI systems and work with modern NLP tools in real-world production environments.

Responsibilities

• Design and build AI applications using RAG-based architecturesFine-tune and integrate LLMs (eg, OpenAI, LLaMA, Mistral, etc) with external data sources
• Build and optimize pipelines for document ingestion, chunking, vector embedding, and retrieval
• Implement and experiment with tools like LangChain, Haystack, Weaviate, Pinecone, Chroma, F...