Senior AI Engineer

Job description

Title: Senior AI Engineer

Reporting to: SVP, Data & AI

Location: USA (Remote)

Opportunity:

Get Well is seeking a highly skilled and innovative Senior AI Engineer to join our growing team of AI experts, focused on building and operationalizing advanced AI solutions that drive business value, operational efficiency, and personalized patient engagement. This role is ideal for an experienced technologist with 5+ years of hands-on experience in LLMs, ML, and related technologies, especially in training, customizing, and deploying models for real-world use cases.

The successful candidate will work through all phases of the AI development life cycle, from data strategy and model development to production deployment, monitoring, and continuous optimization. You will collaborate closely with product, engineering, and clinical teams to ensure integration of scalable, secure, and high-impact AI systems in our business processes.

This position reports directly to the SVP, Data & AI, collaborating with cross-functional teams to implement AI solutions that enhance precision care, patient engagement and operational efficiency.

Responsibilities:

AI Model Development and Customization

• Lead the design, development, and fine-tuning of large language models (LLMs) tailored for business-critical healthcare applications
• Apply domain adaptation techniques to foundation models for operational use cases
• Build multimodal AI systems that integrate structured and unstructured data sources
• Optimize model performance, accuracy, and efficiency for production environments

Technical Implementation

• Write clean, maintainable code for AI model training, evaluation, and inference at scale
• Build and manage data pipelines and MLOps frameworks for continuous learning
• Implement best practices for model versioning, experiment tracking, and reproducibility
• Integrate AI solutions with existing product architectures and infrastructure

Data Engineering and Management

• Prepare and process high-quality healthcare and operational data for model training and validation
• Apply privacy-preserving techniques and comply with healthcare data regulations (e.g., HIPAA)
• Implement synthetic data generation or augmentation strategies to enhance training datasets
• Address data quality issues such as class imbalance, sparsity, and noise in sensitive domains

Evaluation and Bias Assessment

• Design robust evaluation protocols and business-focused KPIs to assess AI model performance
• Monitor and improve fairness, transparency, and bias mitigation across AI solutions
• Conduct rigorous A/B testing, scenario simulations, and error analysis to ensure system reliability
• Track AI outcomes to support measurable gains in efficiency, accuracy, and user experience

Collaborative Development

• Partner with product and operations leaders to define AI requirements aligned with business goals
• Collaborate with domain experts to ensure model outputs are actionable and trustworthy
• Participate in agile development processes, including sprint planning and reviews
• Document solution architecture, modeling assumptions, and implementation processes

Continuous Learning and Innovation

• Stay abreast of industry trends in LLMs, MLOps, and applied AI for business transformation
• Rapidly prototype and test emerging AI capabilities with practical business applications
• Contribute to internal tooling, frameworks, and reusable components for scalable AI development
• Proactively identify efficiency opportunities across business workflows through AI automation

Requirements:

• Master’s degree in Computer Science, Artificial Intelligence, ML, or related technical field
• 5+ years of hands-on experience with:
  • Training and fine-tuning LLMs
  • Implementing multimodal AI solutions
  • Working through the complete AI development lifecycle
  • Developing AI solutions for complex domain use cases
• Technical proficiency in:
  • Python programming and ML frameworks (PyTorch, TensorFlow, or equivalent)
  • Fine-tuning techniques for LLMs (prompt engineering, PEFT, LoRA, etc.)
  • Natural Language Processing (NLP) and Understanding (NLU) techniques
  • Cloud computing and ML operations platforms
  • MLOps, model deployment, and monitoring in cloud environments
• Experience with:
  • Developing AI systems in regulated environments (e.g., healthcare)
  • Real-world structured and unstructured data integration
  • CI/CD for ML workflows, experiment tracking, and reproducibility tools
  • KPI definition and performance evaluation frameworks
• Strong problem-solving skills and analytical thinking
• Ability to work effectively in fast-paced, agile environments
• Experience working with cross-functional teams
• Self-motivated with ability to work independently and collaboratively
• Excellent communication skills, both written and verbal
• Ability to explain technical concepts to non-technical stakeholders
• Strong documentation habits and attention to detail
• Collaborative mindset and team-oriented approach
• Basic understanding of healthcare data types and workflows (preferred)
• Awareness of healthcare regulatory requirements (e.g., HIPAA, GDPR)
• Knowledge of responsible AI practices and ethical considerations
• Familiarity with healthcare terminology and patient care processes (a plus)
• Adhere to all organizational information security policies and protect all sensitive information including but not limited to ePHI and PHI in accordance with organizational policy and Federal, State, and local regulations

About Get Well:

Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well’s award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace. Learn more at Get Well and follow-us on LinkedIn and Twitter. The estimated pay for this position is $145,000 - $200,000 in base salary plus bonus. Base salary is dependent on many factors including, but not limited to education, experience and skills. This range is subject to change and may be modified in the future.

Get Well is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

About SAI Group:

• SAIGroup commits to $1 Billion capital, an advanced AI platform that currently processes 300M+ patients, and 4000+ global employee base to solve enterprise AI and high priority healthcare problems. SAIGroup - Growing companies with advanced AI; https://www.cnbc.com/2023/12/08/75-year-old-tech-mogul-betting-1-billion-of-his-fortune-on-ai-future.html
• Bio of our Chairman Dr. Romesh Wadhwani: Team - SAIGroup (Informal at Romesh Wadhwani - Wikipedia)

TIME Magazine recently recognized Chairman Romesh Wadhwani as one of the Top 100 AI leaders in the world - Romesh and Sunil Wadhwani: The 100 Most Influential People in AI 2023 | TIME