𝗝𝗼𝗯 𝗢𝘃𝗲𝗿𝘃𝗶𝗲𝘄 We are looking for an experienced AI Implementation Specialist to help us design, build, and deploy AI-powered solutions into real-world workflows. The ideal candidate has hands-on experience integrating large language models (LLMs), automation tools, and AI APIs into scalable systems. This role focuses on practical implementation not just research. You will be responsible for turning AI concepts into production-ready solutions. 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 • Design and implement AI-powered workflows and automations • Integrate LLM APIs (OpenAI, Anthropic, etc.) into applications • Build prompt pipelines and optimize prompt engineering strategies • Connect AI systems with tools like Zapier, Make, CRMs, Slack, Notion, etc. • Develop backend logic for AI features (Python, Node.js, etc.) • Ensure reliability, performance, and cost optimization of AI systems • Document implementations and provide technical handover 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗱 𝗦𝗸𝗶𝗹𝗹𝘀 • Strong experience with LLM APIs (OpenAI, GPT, Claude, etc.) • Solid prompt engineering skills • Experience building AI agents or workflow automations • Backend development experience (Python preferred, Node.js acceptable) • Experience with REST APIs and webhooks • Familiarity with vector databases (Pinecone, Weaviate, FAISS, etc.) • Understanding of RAG (Retrieval-Augmented Generation) systems 𝗡𝗶𝗰𝗲 𝘁𝗼 𝗛𝗮𝘃𝗲 • Experience with LangChain, LlamaIndex, or similar frameworks • Experience deploying AI systems to production (AWS, GCP, Azure) • Experience building internal AI tools for businesses • Knowledge of cost optimization strategies for API usage 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗦𝗰𝗼𝗽𝗲 Initial project: • Implement AI workflows for internal operations • Build 1–3 AI-powered automation systems • Optimize and document the architecture Potential for long-term collaboration if performance is strong.