Applied AI Engineer - Remote

dexter health·Remote(Cologne)
Software Development

WFA Digital Insight

As the demand for AI-powered solutions in healthcare grows, with a 25% increase in AI adoption expected by 2027, professionals with expertise in applied AI engineering are in high demand. dexter health stands out by focusing on reducing administrative workload in healthcare, allowing caregivers to spend more time with patients. To succeed in this role, candidates need strong software engineering skills, experience with AI development tools, and the ability to work under ambiguity. With remote work on the rise, this role offers the flexibility and challenge that many professionals are looking for. Before applying, candidates should be prepared to demonstrate their ability to turn ambiguous product ideas into working software quickly and showcase their experience with AI-powered product features.

Job Description

About the Role

The Applied AI Engineer role at dexter health is a hands-on engineering position focused on building new AI features and improving existing AI workflows. As part of the engineering team, you will work closely with product and engineering teams to turn ambiguous product ideas into working, production-ready AI features. Your mission will be to help reduce administrative workload in healthcare, allowing caregivers to spend more time with patients.

The role is mostly focused on shipping AI product features, with some AI systems and infrastructure work where needed. You will be expected to take real ownership of your work, making technical decisions under ambiguity and using AI development tools as a core part of your daily workflow.

What You Will Do

  • Build new AI-powered product features from idea to production
  • Improve existing AI workflows for quality, reliability, latency, and user value
  • Design and implement LLM-based workflows, structured outputs, validation logic, and fallback behavior
  • Build evaluation loops, tests, and quality checks for AI-generated outputs
  • Integrate AI capabilities into existing product and backend systems
  • Work with commercial and open-source LLMs without being tied to one specific provider
  • 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
  • Use AI development tools as a core part of your daily workflow
  • Ship quickly while keeping production quality high

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
  • Ability to turn ambiguous product ideas into working software quickly
  • Strong understanding of how to design, test, validate, and improve AI outputs
  • Experience integrating AI workflows into production systems
  • 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
  • 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
  • Comfortable with ambiguity, fast decisions, and a high-trust startup environment
  • Clear written and spoken English

Nice to Have

  • Experience with frontend or fullstack product development
  • Experience with self-hosted LLMs, model serving, inference optimization, or similar systems
  • Experience with open-source LLMs and related deployment workflows
  • Experience improving latency, cost, quality, or reliability of AI systems
  • Experience with healthcare software, healthcare data, or regulated environments

Benefits and Perks

  • Remote work
  • Fair compensation based on skills, experience, and location
  • Opportunity to work on a mission-driven project, making a real impact in healthcare
  • Collaborative and dynamic work environment
  • Professional development opportunities
  • Access to the latest AI development tools and technologies
  • Flexible working hours and autonomy

How to Stand Out

  • To stand out, showcase your experience with AI development tools and your ability to work under ambiguity.
  • Make sure to demonstrate your strong software engineering skills, especially in Python or a comparable backend language.
  • Prepare to talk about your experience building AI-powered product features or LLM-based workflows.
  • Highlight your ability to turn ambiguous product ideas into working software quickly.
  • Be prepared to discuss your experience with evaluation, testing, validation, or quality checks for AI-generated outputs.
  • Show your understanding of how to design, test, validate, and improve AI outputs.
  • Be ready to talk about your experience with AI development tools and your ability to use them as a core part of your daily workflow.

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