AI Engineer

As an AI Engineer at Ketryx, your responsibilities will include enhancing and expanding our Ketryx Intelligence capabilities, developing advanced natural language processing techniques, and implementing methodologies for AI-assisted software verification. You will also collaborate with cross-functional teams to design impactful AI solutions tailored to user challenges, ensuring that our AI systems maintain compliance with medical software requirements.

To qualify for the AI Engineer position at Ketryx, applicants need a Bachelor’s degree in Computer Science or a related field with a focus on AI/ML. Strong programming skills in TypeScript are essential, along with experience in large language models and natural language processing. Excellent communication skills are also vital for effective collaboration within the team.

Yes! Ketryx supports a hybrid work model, allowing AI Engineers to split their time between working from home and in the office. This flexibility can help maintain a work-life balance while still contributing effectively to our innovative projects.

At Ketryx, we offer a unique opportunity for AI Engineers to learn and grow within a global team that's at the forefront of applying AI/ML technology in regulated industries. Engineers will gain insights into the specific challenges of medical software development, enhancing their skills in AI technology while making a positive impact on healthcare.

A successful AI Engineer at Ketryx is passionate about applying AI to solve real-world problems. Strong technical skills in AI/ML, enthusiasm for tackling complex challenges, and an eagerness to collaborate with teams in a fast-paced environment are key traits. Additionally, having curiosity and a proactive attitude towards continuous learning contributes significantly to success in this role.

When answering this question, focus on a specific project where you applied AI or machine learning concepts. Describe the problem, the AI techniques you used, and the outcome. Highlight how your contributions made a positive impact, showcasing your skills in a practical scenario.

In your response, detail specific projects or experiences where you implemented natural language processing techniques. Discuss the tools and models you used, the challenges faced, and how you overcame them. This demonstrates your technical acumen and problem-solving abilities in AI engineering.

Explain your understanding of regulatory requirements for medical software. Talk about methodologies for ensuring compliance, including systematic testing and validation protocols. Highlight any experiences you have had with compliance in previous roles to strengthen your response.

Be specific about the programming languages and tools you are proficient in, particularly TypeScript and any others relevant to AI development. Discuss how you've utilized these in past projects, emphasizing your capacity to build and optimize production systems.

Share specific examples of production systems you have worked on. Detail your role in the development process, focusing on any challenges you encountered and how you resolved them. Discuss the impact of your work and the lessons learned along the way.

Discuss your strategies for algorithm optimization, including profiling, testing various models, and utilizing appropriate metrics to measure performance. Mention any specific tools or frameworks you have experience with that can facilitate optimization.

Align your response with Ketryx's mission and values. Discuss your passion for using AI to improve healthcare and how you see Ketryx's innovative approach impacting the industry. Show your enthusiasm for being part of a team that is committed to making a difference.

Focus on a specific example where you collaborated with individuals from different departments. Highlight your role, the dynamics of the team, and how collective efforts led to achieving a common goal, emphasizing effective communication and collaboration.

Discuss tools and practices you employ in continuous integration (CI) and continuous deployment (CD). Talk about how they help ensure ongoing validation of AI features, mentioning any specific technologies you have experience with in past projects.

Share your methods for keeping up-to-date with AI advancements, such as following influential publications, attending industry conferences, or participating in online courses. Discuss the importance of continuous learning in the fast-paced field of AI, and how it informs your work.