Principal, AI Engineer

About the role

Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Gainwell carries its rewards. You’ll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. You’ll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. We also have comprehensive leadership and technical development academies to help build your skills and capabilities. Opportunity to work on cutting‑edge AI solutions in a mission‑driven healthcare technology environment.

Responsibilities

• AI Model Development – Design, build, and train machine learning and deep learning models, including GenAI, NLP, and predictive analytics solutions for healthcare applications.
• End-to-End AI Solution Deployment – Develop, test, and deploy AI solutions in cloud and on‑premise environments, ensuring reliability, scalability, and real‑world impact.
• Data Engineering & Processing – Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards.
• System Integration – Implement and optimize AI models within Gainwell’s existing technology stack, collaborating with software engineers to ensure seamless integration.
• Performance Optimization – Continuously monitor, refine, and optimize AI models for accuracy, efficiency, and speed, leveraging MLOps best practices.
• AI Research & Innovation – Stay updated with the latest AI/ML advancements, exploring new technologies and methodologies to enhance solution effectiveness.
• Compliance & Security – Ensure AI implementations adhere to healthcare industry regulations, ethical AI principles, and data privacy standards.
• Automation & Workflow Enhancement – Identify opportunities to automate workflows and optimize business processes using AI‑driven solutions.

Requirements

• Advanced Education: Master’s or Ph.D. in Computer Science, AI, Data Science, or a related field.
• Extensive AI/ML Experience: 5+ years in AI/ML engineering, including hands‑on work with GenAI, NLP, deep learning, and computer vision.
• Technical Proficiency: Strong coding skills in Python and frameworks like TensorFlow and PyTorch; experienced with LLMs (e.g., GPT, Gemini, Claude) including prompt engineering and optimization.
• Scalable Deployment Skills: Familiar with cloud platforms (AWS, Azure, GCP), MLOps practices, and big data tools (Spark, Hadoop, SQL/NoSQL).
• Domain Knowledge: Strong problem‑solving abilities with a plus for experience in healthcare AI and understanding of regulatory standards like HIPAA and CMS.
• Experience developing, deploying and finetuning LLMs (GPT, Gemini, Claude or similar) for real world applications including prompt engineering, model optimization and inference efficiency.
• Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks.
• Strong problem‑solving skills with the ability to translate business challenges into AI‑driven solutions.

Schedule

• Fully Remote Opportunity – Work from anywhere in the U.S.
• Minimal Travel Required – Occasional travel opportunities (0‑10%).

Benefits

• Generous, flexible vacation policy
• 401(k) employer match
• Comprehensive health benefits