Senior AI Engineer - (Remote - US)

Jobgether matches candidates to remote jobs globally, providing feedback on every application to eliminate guesswork and recruiter ghosting.
$180,000 - $200,000
Machine Learning
Senior Software Engineer
Remote
5+ years of experience
AI · Healthcare

Description For Senior AI Engineer - (Remote - US)

Jobgether is revolutionizing the remote job search experience by providing a platform that matches candidates to roles where they're most likely to succeed. They're currently seeking a Senior AI Engineer for a healthcare-focused client, working remotely from the United States.

The role places you at the forefront of developing AI-powered healthcare solutions, focusing on enhancing clinical workflows and improving patient outcomes. You'll be responsible for designing, building, and deploying AI-driven recommendations and predictive models that optimize interventions at scale. The position involves working with extensive healthcare datasets, leveraging existing Large Language Models (LLMs), and creating custom machine learning solutions.

This is an exceptional opportunity for an experienced AI engineer passionate about making a real impact in healthcare through technology. You'll collaborate with a diverse team of engineers, data scientists, and clinicians, working on cutting-edge AI solutions that directly improve healthcare delivery and patient outcomes.

The compensation is highly competitive, ranging from $180,000 to $200,000 annually, plus additional bonus and equity components. The company offers comprehensive benefits, including medical, dental, and vision coverage, along with equity opportunities. The remote work arrangement provides flexibility while working with an innovative team of healthcare and technology professionals.

The ideal candidate will bring 5+ years of applied ML/AI experience, strong expertise in Python and major ML frameworks, and experience with LLMs and NLP techniques. Healthcare industry experience is valued but not required. This role offers the perfect blend of technical challenge, healthcare impact, and professional growth in a remote-first environment.

Last updated a month ago

Responsibilities For Senior AI Engineer - (Remote - US)

  • Develop AI-driven automation and intelligence to enhance clinician efficiency and optimize patient interventions
  • Integrate LLMs and predictive models into real-world clinical workflows
  • Collaborate with product and engineering teams to build scalable, production-ready AI features
  • Utilize data-driven intelligence to improve patient outreach and workflow automation
  • Work with cross-functional teams to align AI development with business and clinical needs
  • Establish best practices for model deployment, monitoring, and iteration

Requirements For Senior AI Engineer - (Remote - US)

Python
  • 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 For Senior AI Engineer - (Remote - US)

Medical Insurance
Dental Insurance
Vision Insurance
Equity
  • 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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