JobTitle: Expert AI Engineer
Location: REMOTE
Duration – Fulltime
Key Responsibilities
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.
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.
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.
What we''re looking for
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, Google Cloud Platform),
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.
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