Job Title

Job Summary:We are looking for a RAG (Retrieval-Augmented Generation) AI Developer to build and improve AI features for our EdTech products—such as course Q&A bots, tutor assistants, content search, and internal knowledge assistants. You will work on document ingestion, embeddings, retrieval pipelines, evaluation, and deployment.Key Responsibilities:Build and maintain RAG pipelines: ingestion → chunking → embedding → vector storage → retrieval → generation.Implement hybrid search (semantic + keyword), reranking, filters, and metadata-based retrieval.Integrate LLMs with tools/frameworks (e.g., LangChain / LlamaIndex or custom pipelines).Work with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma, Milvus) and optimize retrieval performance.Create evaluation metrics for RAG quality (faithfulness, relevance, context precision/recall) and reduce hallucinations.Build prompt templates, guardrails, and citation-based answers.Deploy services/APIs (FastAPI/Flask), monitor latency/cost, and implement caching strategies.Collaborate with product/content teams to define data sources and user workflows.Required Skills & Qualifications:1+ year experience building NLP/LLM features (must have some hands-on RAG or retrieval work).Strong Python skills.Experience with embeddings, chunking strategies, and document loaders (PDF/HTML/Doc).Familiarity with at least one vector DB and retrieval methods (cosine similarity, MMR, etc.).Understanding of basic ML concepts and text preprocessing.Preferred (Nice to Have):Experience with OpenAI / Anthropic / Google / open-source LLMs (Llama, Mistral, etc.).Experience with OCR pipelines (for scanned PDFs), speech/text, or multilingual content (helpful for EdTech).Experience with Docker, cloud deployment (AWS/GCP/Azure), CI/CD.Prior work on chatbots, tutoring systems, or knowledge bases.What Success Looks Like (KPIs):Higher answer accuracy + lower hallucination rateFaster retrieval latency and lower compute costClear citations and better user satisfaction on Q&A flowsLocation: On-site – Girgaon , MumbaiExperience: 1+ year (hands-on)Job Type: Full-time