AI Engineer (Remote - EU)

As an AI Engineer at Ketryx, you will enhance our AI-powered solution Ketryx Intelligence, develop and optimize natural language processing techniques, and implement AI-assisted verification methodologies while ensuring compliance with medical software regulations. You will also lead cross-functional collaborations to address specific user challenges in the medical device domain.

To apply for the AI Engineer position at Ketryx, you should possess at least a Bachelor's degree in Computer Science or a related field, with 2-3 years of practical experience focusing on AI/ML, and at least 4 years of experience in a product-focused company. Familiarity with TypeScript and large language models is essential.

The AI Engineer role at Ketryx requires strong skills in AI/ML, software engineering practices, and experience with TypeScript for backend integration. Familiarity with frameworks like React, Next.js, and knowledge of AI systems in regulated industries are also valuable assets that can enhance your candidacy.

Ketryx emphasizes compliance by integrating systematic testing and validation protocols within the development of AI systems. As an AI Engineer, you will be responsible for ensuring that all AI features adhere to medical software regulations, thereby promoting the creation of safe and reliable products.

The company culture at Ketryx is fast-paced and collaborative, fostering innovation and ownership. AI Engineers are encouraged to take initiative and make impactful decisions while benefiting from a supportive environment that values professional growth and continuous learning.

When answering, showcase your understanding of AI systems and your ability to identify opportunities for enhancing capabilities. Discuss specific techniques, such as refining natural language processing or implementing user feedback systems, emphasizing measurable results.

Highlight your knowledge of AI methodologies focused on validation processes. Discuss how you would systematically test AI models and incorporate regulatory compliance while ensuring high reliability and safety in the software.

Share your approach to integration by outlining steps for collaborating with product teams, understanding user needs, and conducting thorough testing. Emphasize your experience with TypeScript and how it complements the integration process.

Discuss specific challenges such as compliance adherence, validation complexities, or data management. Provide examples where your problem-solving skills helped overcome these hurdles and led to successful project outcomes.

Talk about your commitment to iterative development. Describe strategies for collecting user feedback, running performance metrics, and adjusting algorithms or processes based on those results to continually enhance system performance.

Be prepared to discuss specific projects where you utilized NLP techniques, emphasizing the goals, outcomes, and lessons learned. Detail the relevance of these experiences to the medical device industry to make your answer pertinent.

Explain your understanding of state management and discuss frameworks or methodologies you would use. Emphasize decision-making processes and tools that facilitate smooth, real-time interactions within applications.

Describe how 'await' is used for handling promises in asynchronous code. Explain the context where it's necessary, reinforcing the importance of creating non-blocking applications which are critical in software development.

Share a specific project where you introduced AI features into a SaaS platform, detailing your role, the technology stack, and user feedback. Highlight the impact of these features on improving user satisfaction or operational efficiency.

Discuss your methodological approach, including requirements gathering, prototyping, and testing. Explain how you would ensure user needs are met while adhering to regulatory requirements, which illustrates your expertise in the field.