Applied AI Developer

This is a fully remote position, open to applicants in Germany.

📋 Description

• Develop innovative AI-driven product features from conception to deployment

• Enhance current AI processes for improved quality, dependability, speed, and user satisfaction

• Design and execute workflows based on LLMs, including structured outputs, validation mechanisms, and fallback strategies

• Create evaluation loops, tests, and quality assurance measures for AI-generated content

• Incorporate AI functionalities into existing product and backend infrastructures

• Collaborate with both commercial and open-source LLMs

• Provide support for self-hosted model workflows when applicable

• Troubleshoot AI feature issues related to inputs, outputs, data, backend logic, and user interactions

• Deliver results swiftly while ensuring high production standards

• Collaborate closely with product and engineering teams, taking accountability for results

⛳️ Requirements

• Proficient software engineering skills, particularly in Python or a similar backend programming language

• Experience in developing AI-driven product features or workflows based on LLMs

• Capability to translate vague product concepts into functional software rapidly

• Comprehensive understanding of designing, testing, validating, and enhancing AI outputs

• Proven experience integrating AI workflows into live production environments

• Strong debugging skills regarding application logic, data, model outputs, and user interactions

• Experience in evaluating, testing, validating, or conducting quality checks on AI-generated outputs

• Significant experience with AI development tools such as Claude Code, Codex, Cursor, Copilot, or similar in your daily tasks

• High intelligence, quick learning ability, a proactive approach, and an ownership mentality

• Comfortable navigating ambiguity, making swift decisions, and thriving in a high-trust startup culture

• Proficient in written and spoken English

• Nice-to-have: Experience in frontend or fullstack product development

• Nice-to-have: Familiarity with self-hosted LLMs, model serving, inference optimization, or related systems

• Nice-to-have: Knowledge of open-source LLMs and associated deployment processes

• Nice-to-have: Experience in enhancing the latency, cost, quality, or reliability of AI systems

• Nice-to-have: Background in healthcare software, healthcare data, or regulated sectors

• Nice-to-have: Expertise in structured data extraction, documentation automation, voice workflows, or workflow automation

• Nice-to-have: Proficiency in the German language

• Nice-to-have: Understanding of nursing homes or workflows related to elderly care

🏝️ Benefits

• Flexibility to work remotely

• Competitive compensation based on skills, experience, and geographical location

• Responsibility for key backend systems

• Opportunity to work on software utilized in authentic healthcare workflows

• Access to a modern AI-native development process

• Potential for professional growth alongside the company