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# AI Engineer

- **Company:** Max AI, Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $150,000.0 - $250,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Python (Programming Language), Machine Learning, Natural Language Processing, Performance Tuning, Tensorflow, Pytorch, Large Language Models, Agentic-AI, Scikit Learn, HuggingFace, GPT
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/ai-engineer-san-francisco-ca--9c6e93f0-414c-42a0-a657-648cdf75dfcf

## About the Role

Artificial Intelligence (AI), Artificial Intelligence (AI), Healthcare, Startup, Billing, Medical Billing, Dermatology, Artificial Intelligence (AI) Agents, Medical Coding, Natural Language Processing (NLP), Required

 * 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