Quality Assurance Engineer validating conversational AI, IVR, and voice customer experience solutions for global IT services company Miratech. Automating tests and ensuring reliable integrations across enterprise platforms.
About the role
- AI Engineer building and improving production LLM features for dexter health’s AI-powered healthcare software. Shipping reliable workflows that reduce caregivers’ administrative workload.
Responsibilities
- 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
- Work closely with product and engineering while taking ownership of outcomes
Requirements
- 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
- 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
- Experience working with structured data extraction, documentation automation, voice workflows, or workflow automation
- German language skills
- Knowledge of nursing homes or elderly care workflows
Benefits
- Remote work
- Fair compensation based on skills, experience, and location
- Ownership of important backend systems
- Work on software used in real healthcare workflows
- Modern AI-native development workflow
- Room to grow with the company
Job title
Job type
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Salary
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Degree requirement
No Education Requirement
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