Customer-Facing AI Chatbot with RAG Knowledge

We are looking for a RAG expert to conduct a focused review of an existing or planned retrieval system. This is a short session aimed at identifying structural issues that affect accuracy and hallucination risk. · The goal is to stress-test the RAG design itself and surface clear ...

We're building an internal knowledge assistant that can answer questions using our documents — Notion pages, training manuals, internal SOPs, and a few PDFs. · ...

+Job summary · We are building an AI-powered internal knowledge assistant that integrates with platforms like Confluence, Slack, Jira, and Google Drive and provides intelligent, context-aware answers using Retrieval-Augmented Generation (RAG).+ · +Indexes company knowledge from m ...

We are seeking a skilled professional to enhance the knowledge quality of our RAG chatbot.The ideal candidate will analyze existing data, identify gaps in responses, and implement strategies to improve accuracy and user satisfaction. · ...

We are looking for a skilled Full-Stack Developer with experience in Generative AI and RAG (Retrieval-Augmented Generation) pipelines to build a Knowledge Assistant with a Web UI. · The core purpose of this application is to allow users (enterprises, researchers, HR departments) ...

We are looking for a skilled Full-Stack Developer with experience in Generative AI to build a Knowledge Assistant with a Web UI. · Proven experience building RAG applications. · Strong grasp of FastAPI for creating RESTful APIs. · ...

We're building a knowledge curation platform (V.E.T.S.) that combines RAG with domain expert refinement. · ...

We're Fitness Superstore / French Fitness (ecommerce + warehouse ops) wanting a private internal AI assistant · built using RAG (Retrieval Augmented Generation) · ...

+We are seeking a RAG expert with experience in Python or N8n to assist in the architecture and implementation of ingesting a knowledge base consisting of approximately 1 million pages of financial information. · +Designing efficient workflows to ensure accurate and timely ingest ...

+h2>Job summary · We are looking for an AI/ML engineer to build a prototype Retrieval-Augmented Generation (RAG) system that allows querying internal documents using an LLM. · + Ingest 50–100 documents · ...

I'm looking for an experienced Langflow / LLM engineer to extend an already working RAG system with a Knowledge Graph layer. · ...

I need a senior developer to build a private browser-based RAG (Retrieval-Augmented Generation) application that allows me to upload large documents and ask natural-language questions with grounded, citation-based answers. · Build a web application or similar platform for uploadi ...

We are looking for an AI Engineer to develop a Retrieval-Augmented Generation system designed to automate internal technical support. · Data Ingestion Pipeline: Build a script to parse and chunk diverse document formatsStrong proficiency in Python and OOP principles<li_Handson ex ...

We're looking for a knowledge and retrieval systems expert who wants to come help build the next generation of financial retrieval services. · Knowledge and retrieval systems expert · ...

N1 Healthcare is building one of the most advanced AI platforms in longevity medicine. · We are seeking a LangGraph / LangChain Expert who can design and implement multi-agent RAG workflows at production scale. · ...

I design and develop end-to-end RAG solutions that combine document retrieval with LLMs to deliver accurate, grounded, and scalable AI responses. If you need a reliable, production-ready RAG system with clean architecture and clear documentation, · let's discuss your requirements ...

+Job summary · Organizations everywhere struggle under the crushing costs and complexities of solutions that promise to simplify their lives. To create a better experience for their customers and employees. To help them grow. · Software is a choice that can make or break a busine ...

We are looking for a developer with experience in Retrieval-Augmented Generation (RAG) using LangChain to build an AI application connected to documents or a knowledge base.Build RAG pipelines using LangChain · Connect LLMs with PDFs / text / structured data · Implement vector s ...

+Job summary · We are looking for an experienced AI / RAG specialist to debug and optimize a production-level RAG chatbot that is not returning accurate answers from its knowledge base. · +ResponsibilitiesImproving retrieval accuracy · Fixing context handling · ...

This role is open to W2 and C2C both, · Arcitect and implement scalable AI Agents, Agentic Workflows and GenAI applications to address diverse and complex business use cases.Develop, fine-tune, and optimize lightweight LLMs; lead the evaluation and adaptation of models such as Cl ...