AI Engineer Needed for RAG-Based Knowledge Assistant

Job Details

Description

Summary We are looking for an AI Engineer to build a Retrieval-Augmented Generation (RAG) powered assistant that can answer user questions using our internal business data. The assistant must provide accurate responses based strictly on the information available in our database and should not generate unsupported answers. The goal is to help users quickly find relevant information through a conversational interface instead of manually searching through records. This is a hands-on engineering role requiring experience with LLM integration, vector search, backend APIs, and production-ready AI applications. Responsibilities Build a conversational AI assistant using Retrieval-Augmented Generation (RAG) Design and implement document/data retrieval pipelines Integrate OpenAI, Claude, or similar LLMs Implement semantic search using embeddings and vector databases Ensure responses are grounded in retrieved knowledge Build backend APIs required for chatbot interactions Handle conversation context and session management Improve response accuracy and retrieval quality Integrate the assistant into an existing web application Monitor and optimize chatbot performance Required Skills RAG (Retrieval-Augmented Generation) OpenAI API / Claude API Vector Databases (Pinecone, Qdrant, Weaviate, Supabase Vector, etc.) Embeddings and Semantic Search Node.js / TypeScript Next.js or React REST APIs PostgreSQL / SQL Databases Prompt Engineering Backend Development Production Deployment Preferred Qualifications Experience building AI support assistants Experience developing knowledge-base chatbots Familiarity with LangChain or LlamaIndex Experience improving retrieval accuracy and reducing hallucinations Experience deploying AI applications in production What We're Looking For Please apply if you have previously built: RAG-based chatbots Internal knowledge assistants AI customer support systems AI-powered search experiences Enterprise knowledge retrieval applications When applying, include: Similar projects you've built Technologies used Your role in the project Estimated timeline for implementation Engagement Project-based engagement Potential for long-term collaboration Flexible working hours

Skills

AI Agent Development AI Implementation AI Development AI App Development Artificial Intelligence +5

Notification History

Channel	Type	Status	Sent	Error
telegram	pre_ai_job_alert	sent	Wed, Jul 29, 2026 5:40 PM	-

User Actions

Action	Acted at
No actions.