AI Full-Stack Developer | LLM, RAG & AI Integration

We’re looking for an AI Full-Stack Developer to build and enhance AI-powered web applications, with a strong focus on LLM integration, RAG systems, and modern full-stack development. You’ll be responsible for developing scalable applications that combine AI capabilities with reliable backend systems and intuitive frontend experiences. The ideal candidate should be comfortable working across the stack and integrating third-party AI services into production-ready applications. What you’ll work on: Build and maintain full-stack web applications with modern frontend and backend technologies Integrate LLMs and AI APIs such as OpenAI, Claude, Gemini, or similar platforms Design and implement RAG (Retrieval-Augmented Generation) pipelines using vector databases and embeddings Build AI-powered features such as intelligent search, document Q&A, chatbots, assistants, and automated workflows Develop APIs and backend services to support AI and application workflows Work with databases, data processing, authentication, and third-party integrations Implement prompt engineering, structured outputs, function/tool calling, and AI workflow logic Connect AI systems with existing SaaS platforms, APIs, and business applications Optimize AI applications for performance, reliability, scalability, and cost Debug existing systems and continuously improve the application based on requirements Requirements: Strong experience in full-stack development Hands-on experience building applications with LLMs and AI APIs Practical experience with RAG, embeddings, vector databases, and semantic search Experience with REST APIs and third-party API integrations Strong understanding of databases and backend architecture Ability to work independently and turn requirements into working features Good communication skills and ability to explain technical decisions clearly Nice to have: Experience with AI agents and tool/function calling Experience with LangChain, LangGraph, LlamaIndex, or similar frameworks Experience deploying AI applications to AWS, GCP, Azure, or similar cloud platforms Experience with Docker and modern CI/CD workflows Experience working with SaaS products or AI startups