Applied AI Developer – Remote

About This Opportunity

We are representing a confidential healthcare technology client in Germany seeking an Applied AI Developer to join their remote team. Our client builds software solutions that reduce administrative burden for healthcare providers, allowing care teams to focus more on patient care.

This is a hands-on engineering role focused on shipping production-ready AI features. You'll transform product concepts into working AI-powered capabilities, working closely with product and engineering teams while maintaining significant ownership and autonomy.

Responsibilities

• Build new AI-powered product features from concept through production deployment
• 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 across multiple providers
• Support self-hosted model workflows where appropriate 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 maintaining production quality standards

What We're Looking For

Required qualifications:

• Strong software engineering skills, particularly in Python or comparable backend language
• Proven 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 capabilities 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 (Claude Code, Codex, Cursor, Copilot, or similar) as part of daily workflow
• High intelligence, fast learning speed, bias to action, and ownership mindset
• Comfortable with ambiguity, fast decisions, and high-trust startup environments
• Clear written and spoken English

Valued additional experience:

• Frontend or fullstack product development
• Self-hosted LLMs, model serving, or inference optimization
• Open-source LLM deployment workflows
• Improving latency, cost, quality, or reliability of AI systems
• Healthcare software, healthcare data, or regulated environments
• Structured data extraction, documentation automation, voice workflows, or workflow automation
• German language skills
• Knowledge of nursing homes or elderly care workflows

This role may not be suitable if you:

• Are primarily seeking an ML research position
• Are a prompt engineer without strong coding skills
• Require detailed specifications before making progress
• Prefer slow, highly structured corporate environments
• Are mainly looking for management rather than hands-on building
• Want to use AI tools only occasionally instead of daily
• Optimize for perfect process over fast, reliable execution

How We Work With You

Our talent team at Get A Job.ai manages the full recruitment process for this confidential client. When you apply through our platform, one of our recruiters will screen your application and conduct an initial conversation. If there's a strong match, we'll submit your profile to the client and coordinate all subsequent interview stages.

Please apply exclusively through Get A Job.ai. Do not attempt to contact the client directly, as we manage this search on their behalf.

Pay

Compensation details will be discussed during the screening process and are based on skills, experience, and location.

Equal Opportunity

Get A Job.ai is committed to inclusive hiring practices. We encourage applications from candidates of all backgrounds and work with our clients to ensure fair and equitable recruitment processes.