Job Description

• Strong proficiency in Python and experience with Streamlit or similar frameworks.
• Experience with LLM APIs (OpenAI, Gemini, or similar) and prompt tuning.
• Hands-on experience with Retrieval-Augmented Generation (RAG) pipelines using LangChain or similar orchestration frameworks.
• Proficiency in working with vector databases like FAISS, ChromaDB, or Pinecone.
• Experience with data parsing and manipulation in Excel using libraries like pandas and openpyxl.
• Familiarity with document processing tools such as PDFMiner, PyMuPDF, or Tika.
• Understanding of REST APIs, Git, and cloud deployment best practices.
• Strong grasp of AI pipelines, NLP fundamentals, and retrieval-based question answering.
• Excellent debugging, problem-solving, and communication skills.

Years of Experience

• 4 Years To 6 Years.