> Markdown version of [/jobs/ext/1741116-ai-engineer](https://www.wearedevelopers.com/jobs/ext/1741116-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Max AI, Inc. - **Location:** Ann Arbor, MI, United States - **Experience:** Expert - **Salary:** $65,000.0 - $95,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Python (Programming Language), Machine Learning, Performance Tuning, Tensorflow, Pytorch, Large Language Models, Scikit Learn, HuggingFace, GPT - **Published:** July 5, 2026 - **Apply:** https://www.careerjet.com/jobad/usf36fd0d17b2436c0915dffbd8f8e5550 ## About the Role * 6+ years of ML/AI/data science in a production setting * Well-versed in using ML/NLP python packages such as tensorflow, pytorch, scikit-learn, transformers (including others for working with huggingface models) * Expertise in AI/ML and specifically in NLP (pre-processing, embeddings, transformer-based models, etc) * Experience with LLM, including supervised fine-tuning, usage of AI frameworks, evaluations of LLMs Nice to Have * Experience working at high-growth startups * Exposure in highly regulated industries and/or healthcare * Experience with AWS ## Description * Build, experiment, and evaluate AI agents and ML models in the NLP domain to improve the accuracy of medical coding/billing and other aspects of revenue cycle management. * Contribute to the building of internal AI frameworks to enable the building of our AI agents and ML models * Collaborate closely with a small, high-impact team and engage directly with our Operations team and our customers to drive meaningful improvements. Work Approach * Complete product ownership: tackle challenges across the board rather than working in silos. * An agile, iterative process with clear accountability. * Regular interactions with customers to ensure our product continuously evolves to meet their needs. Core Values * A proactive mindset: Spot and resolve issues, continuously driving improvements. * Commitment to lifelong learning and personal growth. * Positivity, collaboration, and a team-first attitude. * Clear communication skills ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [Speak, Code, Deploy: Transforming Developer Experience with Voice Commands](https://www.wearedevelopers.com/videos/1159-speak-code-deploy-transforming-developer-experience-with-voice-commands) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)