AI Automations specialist

About The Swim Starter

At The Swim Starter, our mission is to teach 1 million children to swim by 2040—through fun, structured, and safe swimming programs across Southeast Asia. We're not just a swim school; we're a movement to improve water safety and learning outcomes. To scale our impact, we are building AI-enhanced tools that transform how we engage with families, train coaches, and manage operations.

Role Overview

We’re looking for a forward-thinking AI Developer to help architect and deploy intelligent systems that automate, personalize, and scale our swim school operations. You’ll work on projects like AI chatbots, recommendation engines for coach-student matching, automated scheduling assistants, and AI-driven analytics for business and coaching performance.

Key Responsibilities

• AI Systems Development
  Design, build, and deploy AI-powered tools for operations, customer communication, scheduling, and coach training.
  Integrate Large Language Models (LLMs) into internal workflows (e.g. GPT-powered FAQ bots, automated report generation).
  Build and fine-tune recommendation engines for coach-student pairings or personalized learning plans.
• Automation and Data Intelligence
  Work with Airtable, Zapier, n8n, Make.com and other no-code/low-code tools to orchestrate automations.
  Develop data pipelines to collect, clean, and analyze customer and coach data to improve business outcomes.
  Implement real-time analytics dashboards to track performance and forecast bottlenecks.
• Cross-functional Collaboration
  Collaborate closely with Operations, Customer Service, Marketing, and Tech teams to identify automation opportunities.
  Translate business problems into AI solutions that are scalable and user-friendly.
  Participate in agile sprints to deliver iterative enhancements.

Requirements

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 2+ years of experience in AI/ML development, including NLP, LLMs, or conversational AI.
• Strong knowledge of Python and AI/ML frameworks (e.g., TensorFlow, PyTorch, HuggingFace Transformers).
• Familiarity with tools like OpenAI API, LangChain, RAG, vector databases (e.g., Pinecone, ChromaDB).
• Experience deploying AI into production environments (e.g., web apps, CRM, internal tools).
• Bonus: Experience with automation tools (Make.com, n8n, Zapier), Notion API, or Airtable scripting.
• Strong analytical, problem-solving, and communication skills