Develop and maintain applications using Python and .NET Build and integrate LangChain & LangGraph based workflows for LLM-powered applications Work with Vector Databases for embedding storage and similarity search Assist in developing retrieval-augmented generation (RAG) pipelines Write clean, testable, and well-structured code Collaborate with senior engineers on AI/ML solution design Participate in code reviews and contribute to engineering best practices Requirements 1+ years of experience in software development Proficiency in Python (core language, data libraries NumPy, Pandas) Working knowledge of .NET (C#, ASP.NET Core, Web API) Hands-on experience with LangChain and LangGraph for building LLM chains and agent workflows Understanding of Vector Databases indexing, querying, and embedding management Familiarity with REST APIs, Git, and CI/CD basics Basic understanding of LLMs, prompt engineering, and embedding models Nice to Have Exposure to cloud platforms (Azure, AWS, or GCP) ...