We are looking for a skilled and proactive developer with deep experience in LangChain and AI Agent architectures to build a Proof of Concept (PoC) for an intelligent agent that interacts with Excel-based business case models.We have a set of well-defined Excel business case models (golden copies) containing embedded business logic and macros.Design a knowledge layer that enables the agent to:
Understand field priority (critical vs optional)
Use metadata (color codes, flags) to minimize user inputs
Dynamically adapt to different Excel model structures
Allow users to interact via conversational interface (chat-based)
Extract inputs from the conversation
Inject inputs into the correct Excel fields without breaking formulas/macros
Key Requirements:
Proven experience with LangChain, Python, and OpenAI/LLMs
Experience working with Excel (macros, formulas, structured sheets)
Familiarity with RAG (Retrieval-Augmented Generation) is a plus
Ability to work independently and deliver a functional PoC
Bonus: Experience with PPT automation using Python (e.g., python-pptx)
