Job
- Level
- Erfahren
- Job Feld
- Data, Application
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Gehalt
- ab 80.000 € Brutto/Jahr
- Ort
- Wien
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Position entwickelst du KI-gesteuerte Systeme zur Dokumentenerstellung, implementierst NLP-Techniken zur Anforderungsanalyse und garantierst die Einhaltung von Vorschriften für medizinische Software mit fortlaufender Validierung.
Job Technologien
Deine Rolle im Team
- Join us in an exciting opportunity as an AI Engineer at Ketryx, where you'll help enhance and expand our AI-powered solution that helps medical device manufacturers build safer software faster.
- In this role, you'll be part of a small, highly motivated team working at the intersection of artificial intelligence and medical software development.
- You'll help shape the future of how medical device teams interact with AI systems while ensuring compliance with regulatory requirements.
- Enhance and expand the capabilities of our AI-powered solution across our platform.
- Develop and optimize advanced natural language processing techniques for requirement analysis and traceability, with emphasis on identifying dependencies and potential gaps.
- Implement methodologies for AI-assisted software verification and validation processes, focusing on regulated environment requirements.
- Design and develop AI-powered document processing and generation systems with continuous validation capabilities.
- Build and maintain testing frameworks to evaluate KI's AI components through empirical studies, measuring efficiency gains, accuracy improvements, and user satisfaction metrics.
- Establish and implement monitoring systems for continuous validation of AI features in regulated environments.
- Lead cross-functional collaboration with the product team to design measurable, impactful AI solutions that address specific user challenges.
- Ensure AI systems maintain compliance with medical software requirements through systematic testing and validation protocol.
Unsere Erwartungen an dich
Ausbildung
- Bachelors degree in Computer Science, Applied Computing, and at least 2-3 years of practical experience in related field with focus on AI/ML.
Qualifikationen
- You're passionate about applying AI to solve real-world problems, particularly in regulated industries where safety and reliability are paramount.
- Your strong technical foundation in AI/ML is complemented by excellent software engineering skills and a desire to build production-ready systems that users can trust.
- You're excited about the challenge of making AI systems that are both powerful and responsible, especially in the context of medical software development.
- You thrive in a fast-paced startup environment where you can take ownership of technical decisions and see their direct impact on users.
- Knowledge in common Software Engineering practice.
- Excellent written and verbal communication skills.
- Familiarity with React, Next.js, and GraphQL.
- Understanding of medical device software development processes.
Erfahrung
- You're naturally curious, love diving deep into complex problems, and are comfortable working across the full AI system stack - from model integration to user experience design.
- Minimum of 4 years of professional experience in a product-focused company.
- Experience with large language models (LLMs) and natural language processing.
- Experience building production systems.
- Experience working on a TypeScript or JavaScript backend (for product integration work).
- Experience with AI systems in regulated industries.
Benefits
Gesundheit, Fitness & Fun
Job Standorte
Themen mit denen du dich im Job beschäftigst
Das ist dein Arbeitgeber
Ketryx
Ketryx fokussiert sich auf innovative Lösungen im Bereich der medizinischen Softwareentwicklung, insbesondere für Software as a Medical Device und Connected Devices. Die Plattform vereinfacht die Softwareentwicklung und gewährleistet die Einhaltung regulatorischer Standards.
Description
- Unternehmenstyp
- Startup
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Gesundheitswesen, Soziales