TELECOMMUTE Expert AI Engineer

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., 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.