LangChain Jobs

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...

I’m building a Python-driven, agentic system that leans on Anthropic’s Claude API to remove as much manual effort as possible from my day-to-day e-commerce operations. The core objective is process automation: I want autonomous code that can watch key events, decide what has to happen next, and execute the required steps without human intervention. Right now the priority is e-commerce automation—things like order lifecycle handling, inventory syncs, customer-service ticket triage, and routine report generation. The architecture will likely involve a mix of Claude function-calling, LangChain (or a similar framework), and robust error-handling so that every agent knows when to escalate and when to retry. Deliverables • Well-documented Python modules that expose cle...

I’m planning a series of projects that revolve around injecting advanced AI into new and existing products, and I’m looking for one reliable development partner to grow with me over the long haul. Every build will lean heavily on Large Language Models, purpose-built AI agents and traditional machine-learning models, so you’ll need to feel at home with frameworks such as LangChain or similar, prompt-engineering best practices, fine-tuning workflows and containerised model deployment. The roadmap includes: • Green-field SaaS platforms with secure, multi-tenant user authentication, rich report generation and deep third-party API integrations. • Companion desktop utilities (likely Electron or a comparable cross-platform stack) that tap into the same AI core. ...