AI Integration Expert

We are looking for an experienced AI Integration Expert to help integrate modern AI capabilities into existing applications, platforms, and business workflows. The ideal candidate should be comfortable working with LLM APIs, AI automation, chatbots, RAG, AI agents, third-party APIs, and backend systems and should know how to turn AI capabilities into reliable, production-ready features. Responsibilities Integrate AI/LLM capabilities into existing web and software applications Work with APIs from OpenAI, Anthropic, Google Gemini, and other AI providers Build and integrate AI-powered chatbots and virtual assistants Implement RAG pipelines, embeddings, vector databases, and semantic search Integrate AI agents and automation into existing business workflows Connect AI systems with third-party APIs, CRMs, databases, and SaaS platforms Implement function calling and tool-based AI workflows Develop AI-powered features using Python, FastAPI, Node.js, or similar technologies Optimize AI integrations for performance, reliability, scalability, and cost Handle authentication, API security, error handling, logging, and monitoring Test and troubleshoot AI integrations in production environments Collaborate with developers and product teams to identify practical AI use cases Required Skills Strong experience with AI/LLM API integration Hands-on experience with OpenAI API, Anthropic, Gemini, or similar Strong Python and/or Node.js development skills Experience with REST APIs and third-party integrations Experience with RAG and vector databases Experience with AI chatbots and conversational systems Understanding of prompt engineering and structured outputs Experience with function/tool calling Experience integrating AI into existing software products Strong debugging and problem-solving skills Nice to Have Experience with LangChain or LangGraph Experience with AI agents and multi-agent systems Experience with MCP (Model Context Protocol) Experience with Pinecone, Weaviate, Qdrant, Chroma, or similar vector databases Experience with PostgreSQL, MongoDB, Redis, or similar databases Experience with AWS, Azure, or GCP Docker and CI/CD experience Experience integrating AI with CRM, healthcare, enterprise, or automation platforms What We're Looking For We are looking for someone who can go beyond simply calling an LLM API. You should understand how to integrate AI into real-world applications, connect AI with existing systems, manage data and context, handle edge cases, and build reliable solutions that can be deployed in production. You should be able to take an AI requirement from concept → architecture → integration → testing → deployment. To Apply Please provide: A brief introduction about your AI integration experience Examples of AI-powered applications you have integrated Which AI APIs and frameworks you have worked with Your experience with RAG, vector databases, and AI agents Links to relevant GitHub repositories, demos, or previous work Your availability and hourly rate Bonus: Tell us about one AI integration you built that connected an LLM with an existing application, database, API, or business workflow. We are looking for someone interested in long-term collaboration and capable of taking ownership of AI integration projects from development through production.