LangChain Jobs

We're looking for a skilled developer to design and build a custom AI agent from the ground up — covering architecture, tool integrations, memory, and autonomous task execution. You should have hands-on experience with LLM frameworks (LangChain, AutoGen, or similar) and a portfolio of working agent projects. Scope includes requirements gathering, build, testing, and handoff documentation. Timeline and budget negotiable based on complexity. Submit a short video introduction (1–2 min) walking through a relevant project you've built. Text-only proposals will not be reviewed.

Development of a Private AI Chat Platform Based Only on Custom Documents and Videos (Open Source RAG System) I am looking for an experienced AI / LLM / RAG developer to build a private ChatGPT-like platform that answers questions exclusively using files and content uploaded by me. IMPORTANT: The AI must NOT browse the internet. All answers must be generated ONLY from the PDFs, books, videos, and documents uploaded into the system. The goal is to create a closed/private AI knowledge assistant based on proprietary content. Required Features: FRONTEND: * Simple ChatGPT-style chat interface * Basic user authentication/login * Optional chat history * Clean and functional UI ADMIN/BACKEND: * Private admin dashboard * Ability to upload: * PDFs * EPUB/books * DOCX/TXT files * You...

QueryPilot AI – Multi-User RAG Chatbot QueryPilot AI is a production-style Retrieval-Augmented Generation (RAG) application that lets users chat with their uploaded documents through a modern React frontend and a FastAPI backend. It combines semantic retrieval, vector search, chat history, and LLM-powered answering to provide context-aware responses from document knowledge. Overview This project is built as a multi-user document Q&A system where users can upload files, manage documents, and ask questions in a chat interface. The backend handles retrieval, chat sessions, and response generation, while the frontend provides a clean React-based UI for chatting, uploading, listing, and deleting documents. Tech Stack Frontend: React, Vite Backend: FastAPI LLM Orchestration: LangChai...