Applied AI Developer

dexter health

Applied AI Developer building production LLM features for dexter health’s caregiver software. Improving AI workflows, reliability, evaluation, and backend integration.

Posted 8/20/2026full-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 production quality in a fast-paced environment.

Highest-signal resume keywords

Python ProgrammingAI-Powered Product DevelopmentLLM-Based Workflow DesignDebugging and Quality AssuranceAI Development Tools

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAI Workflow IntegrationEvaluation and TestingValidation LogicStructured OutputsFallback BehaviorDebuggingModel ServingInference OptimizationData Extraction

Soft Skills

Fast LearningOwnership MindsetComfort with AmbiguityClear Communication

Tools & Technologies

Claude CodeCodexCursorCopilotOpen-Source LLMs

Industry Keywords

Healthcare SoftwareRegulated EnvironmentsElderly Care Workflows

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
Support self-hosted model workflows where appropriate
Debug AI feature failures across inputs, outputs, data, backend logic, and user flows
Ship quickly while maintaining production quality
Work closely with product and engineering while taking ownership of outcomes

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 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
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

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