Artificial Intelligence Engineer - LLM/Python

Responsibilities

• Design and implement machine learning models for personalized fitness recommendations, user behavior prediction, and health insights.
• Collaborate with data scientists, software engineers, and product teams to integrate AI features into mobile and web platforms.
• Meticulous attention to detail and documentation; able to codify evaluation protocols so results are reproducible and debuggable.
• Develop and maintain data pipelines and model-serving infrastructure.
• Monitor and evaluate the performance of AI systems in production.
• Stay up to date with the latest research in AI, ML, and health tech.
• Assist in building ethical, transparent, and explainable AI features.
  

Requirements

• Hands-on experience building test harnesses for LLM behaviour using OpenAI Evals,
  

• Proven success shipping features on GPT-4 Claude or similar models in production.
• Deep skills with LangChain/LlamaIndex, OpenAI function-calling and JSON-schema prompts, plus retrieval-augmented-generation (RAG) pipelines.
• Strong coding in Python (preferred) or Node.js ; familiarity with CI/CD and serverless runtimes on AWS or Azure.