Applied AI Engineer

dexter health

Applied AI Engineer building production LLM features for dexter health’s healthcare software. Improving AI workflows, reliability, evaluation, and caregiver-facing automation.

Posted 8/14/2026full-timeRemote • 🇩🇪 GermanyMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong software engineering skills in Python, with a focus on building and integrating AI-powered product features and LLM-based workflows. Capable of designing, testing, and validating AI outputs while maintaining high production quality in a fast-paced environment.

Highest-signal resume keywords

Python ProgrammingAI-Powered Product DevelopmentLLM-Based Workflow DesignAI Development Tools UsageDebugging and Quality Assurance

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAI Workflow IntegrationEvaluation and TestingValidation Logic DesignStructured Data Extraction

Soft Skills

Fast Learning SpeedOwnership MindsetComfort with AmbiguityClear Communication

Tools & Technologies

Claude CodeCodexCursorCopilotSelf-Hosted LLMs

Industry Keywords

Healthcare SoftwareElderly Care WorkflowsRegulated EnvironmentsWorkflow Automation

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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 the daily workflow
Ship quickly while keeping production quality high

Requirements

What you’ll need

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 the 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 (nice-to-have)
Experience with self-hosted LLMs, model serving, inference optimization, or similar systems (nice-to-have)
Experience with open-source LLMs and related deployment workflows (nice-to-have)
Experience improving latency, cost, quality, or reliability of AI systems (nice-to-have)
Experience with healthcare software, healthcare data, or regulated environments (nice-to-have)
Experience working with structured data extraction, documentation automation, voice workflows, or workflow automation (nice-to-have)
German language skills (nice-to-have)
Knowledge of nursing homes or elderly care workflows (nice-to-have)

Benefits

Comp & perks

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