Applied AI Developer - Remote

dexter healthdexter health·Remote(Cologne)
AI & Machine Learning

WFA Digital Insight

The demand for skilled AI developers in healthcare has grown significantly, with a 25% increase in job postings over the last year. As the healthcare industry shifts towards more efficient and patient-centric care, the need for innovative AI solutions has never been more pressing. dexter health is at the forefront of this movement, and their Applied AI Developer role offers a unique opportunity to make a real impact. With the rise of remote work, candidates can now contribute to cutting-edge healthcare technology from anywhere in the world. Before applying, candidates should be aware that this role requires a strong foundation in software engineering, AI development, and a passion for improving healthcare outcomes.

Job Description

About the Role

As an Applied AI Developer at dexter health, you will play a crucial role in building and improving AI-powered software solutions for care teams. Your primary focus will be on designing, developing, and deploying AI features that simplify administrative tasks and enable caregivers to spend more time with patients. You will work closely with cross-functional teams, including product and engineering, to ensure seamless integration of AI capabilities into existing systems.

The role requires a unique blend of technical expertise, creativity, and collaboration. You will be expected to take ownership of your work, making technical decisions under ambiguity and driving projects forward with a sense of urgency. Your contributions will have a direct impact on the quality of care provided to patients, making this a highly rewarding and challenging opportunity.

dexter health's mission is to reduce administrative workload in healthcare, and as an Applied AI Developer, you will be instrumental in achieving this goal. You will have the opportunity to work with cutting-edge AI development tools, such as Claude Code, Codex, Cursor, and Copilot, and collaborate with a talented team of professionals who share your passion for improving healthcare outcomes.

What You Will Do

  • Build new AI-powered product features from idea to production, focusing on quality, reliability, and user value
  • Improve existing AI workflows for latency, cost, and quality, ensuring seamless integration with existing systems
  • Design and implement LLM-based workflows, structured outputs, validation logic, and fallback behavior
  • Develop evaluation loops, tests, and quality checks for AI-generated outputs to ensure accuracy and reliability
  • Integrate AI capabilities into existing product and backend systems, ensuring scalability and performance
  • Collaborate with commercial and open-source LLM providers to leverage the best solutions for dexter health's products
  • Support self-hosted model workflows where they make sense for quality, speed, cost, or control
  • Debug AI feature failures across inputs, outputs, data, backend logic, and user flows to ensure rapid resolution
  • Ship quickly while maintaining production quality, ensuring timely delivery of AI-powered solutions
  • Use AI development tools as a core part of your daily workflow, staying up-to-date with the latest advancements and best practices

What We Are Looking For

  • Strong software engineering skills, especially in Python or a comparable backend language
  • Experience building AI-powered product features or LLM-based workflows, with a focus on quality and reliability
  • Ability to turn ambiguous product ideas into working software quickly, with a strong understanding of design, testing, and validation
  • Experience integrating AI workflows into production systems, with a focus on scalability and performance
  • Strong debugging instincts across application logic, data, model outputs, and user-facing behavior
  • Experience with evaluation, testing, validation, or quality checks for AI-generated outputs, ensuring accuracy and reliability
  • Serious experience using AI development tools, such as Claude Code, Codex, Cursor, Copilot, or similar, as part of your daily workflow
  • High intelligence, fast learning speed, bias to action, and ownership mindset, with a strong focus on delivering results
  • Comfortable with ambiguity, fast decisions, and a high-trust startup environment, with a willingness to adapt and learn

Nice to Have

  • Experience with frontend or fullstack product development, with a focus on user experience and design
  • Experience with self-hosted LLMs, model serving, inference optimization, or similar systems, with a focus on performance and scalability
  • Experience with open-source LLMs and related deployment workflows, with a focus on community engagement and contribution
  • Experience improving latency, cost, quality, or reliability of AI systems, with a focus on optimization and efficiency
  • Experience with healthcare software, healthcare data, or regulated environments, with a focus on compliance and security

Benefits and Perks

  • Remote work opportunities, with a focus on flexibility and work-life balance
  • Fair compensation based on skills, experience, and location, with a focus on recognizing individual contributions
  • Opportunities for professional growth and development, with a focus on learning and advancement
  • Collaborative and dynamic work environment, with a focus on teamwork and communication
  • Access to cutting-edge AI development tools and technologies, with a focus on staying up-to-date with industry advancements
  • Flexible working hours and autonomy, with a focus on trusting employees to manage their time effectively
  • Opportunities for networking and community engagement, with a focus on building relationships and partnerships
  • Comprehensive benefits package, including health insurance, retirement planning, and paid time off, with a focus on supporting employee well-being

How to Stand Out

  • Focus on showcasing your experience with AI development tools and technologies, highlighting your ability to design, develop, and deploy AI-powered solutions.
  • Be prepared to discuss your approach to debugging AI feature failures and your experience with evaluation, testing, and validation of AI-generated outputs.
  • Highlight your ability to work with cross-functional teams, including product and engineering, and your experience with agile development methodologies.
  • Emphasize your passion for improving healthcare outcomes and your understanding of the industry's unique challenges and opportunities.
  • Prepare to discuss your experience with self-hosted LLMs, model serving, and inference optimization, and be ready to provide examples of your work in these areas.
  • Showcase your portfolio of AI-powered projects, highlighting your ability to design, develop, and deploy AI-powered solutions that drive real-world impact.
  • Be prepared to discuss your salary expectations and negotiate based on your skills, experience, and location.

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