AI Developer for Ongoing Monthly Retainer: Build Custom AI Models and Solutions

We’re Infuse One, a growing healthcare services company, and we’re looking for an experienced AI developer to join us on a monthly retainer. You’ll work directly with our leadership team to design, develop, and deploy AI models and tools that solve real business problems. This is a long-term role, not a one-off project. We want someone who can become a trusted technical partner, turn business goals into working AI solutions, and keep improving them over time. What you’ll do Work with our leadership team to identify where AI can add value and set project priorities Design, build, train, and fine-tune AI/ML models for our specific use cases Build applications and automations using large language models (LLMs), including prompt engineering, retrieval-augmented generation (RAG), and API integrations Prepare, clean, and manage datasets for training and evaluation Deploy models into production and connect them with our existing systems and workflows Monitor performance, troubleshoot issues, and improve models over time Write clear documentation and explain technical progress in plain language to non-technical stakeholders What we’re looking for 3+ years of hands-on experience building and deploying AI/ML solutions Strong Python skills and experience with frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, or similar Experience working with LLM APIs (e.g. OpenAI, Anthropic, Google) and open-source models Familiarity with cloud platforms (AWS, Azure, or GCP) and deployment tools A solid grasp of data handling, model evaluation, and AI security and privacy best practices Clear, reliable communication, and comfort taking direction while also suggesting better approaches A portfolio or examples of AI projects you’ve shipped. To apply, please include: A short intro and why this role interests you Two or three AI projects you’ve built, with links or descriptions of your role and the results Your preferred monthly retainer rate and how many hours that covers Your answer to this question: “Describe a time you had to explain an AI solution’s limitations to a non-technical client. How did you handle it?”