Senior AI Engineer - (Remote - US)

Job Description

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For one of our clients, we are looking for a Senior AI Engineer, remotely from the United States.

As a Senior AI Engineer, you will be at the forefront of developing AI-powered automation and intelligence solutions to enhance clinical workflows and improve patient outcomes. This role involves designing, building, and deploying AI-driven recommendations, predictive models, and automation tools that optimize interventions at scale. You will work with large healthcare datasets, leverage existing LLMs, and create custom machine learning models. Collaboration with cross-functional teams—including engineers, data scientists, and clinicians—is key to delivering high-impact AI solutions that make a real difference in healthcare.

Accountabilities:

  •     Develop AI-driven automation and intelligence to enhance clinician efficiency and optimize patient interventions.
  •     Integrate LLMs and predictive models into real-world clinical workflows to improve decision-making.
  •     Collaborate with product and engineering teams to build scalable, production-ready AI features.
  •     Utilize data-driven intelligence to improve patient outreach, adherence interventions, and workflow automation.
  •     Work closely with cross-functional teams, including ML engineers, data scientists, clinicians, and product managers, to align AI development with business and clinical needs.
  •     Establish best practices for model deployment, monitoring, and iteration, ensuring continuous learning and reliability.

Requirements

  •    5+ years of experience in applied machine learning and AI engineering.
  •    Strong expertise in Python, PyTorch/TensorFlow, and cloud-based ML services (AWS preferred).
  •    Hands-on experience integrating LLMs, NLP models, or predictive systems into production environments.
  •    Proven track record of AI-driven automation, workflow optimization, or intelligent recommendations.
  •    Experience working with modern NLP techniques such as retrieval-augmented generation (RAG) and few-shot prompting.
  •    Strong problem-solving skills with a data-driven approach to decision-making.
  •    Ability to collaborate with cross-functional teams and align AI solutions with business goals.
  •    Experience in healthcare AI applications is a plus.

Benefits

  •    Competitive salary range: $180,000-$200,000 per year (excluding bonus and equity components).
  •    Opportunity to work on innovative AI solutions that impact healthcare at scale.
  •    Flexible remote work options within the United States.
  •    Collaboration with experienced clinicians, engineers, software architects, and digital health entrepreneurs.
  •    Professional development and learning opportunities.
  •    Comprehensive benefits package, including medical, dental, and vision coverage.
  •    Equity and performance-based incentives.
  •    Inclusive and diverse workplace culture with equal opportunity employment policies.

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