AI Engineer

As an AI Engineer at Kognity, you'll have a variety of responsibilities that center around developing AI-enhanced educational tools. Your tasks will include designing and maintaining AI-powered features, collaborating with cross-functional teams, leading improvements in tech processes, and ensuring that our AI capabilities are implemented responsibly and efficiently. You're also expected to act as a mentor to your peers, sharing your expertise to foster a tech-driven culture.

To qualify for the AI Engineer position at Kognity, you should possess strong engineering skills including experience with APIs, databases, and DevOps. A deep understanding of AI principles is crucial, particularly with tools like OpenAI and Foundation Models. Additionally, demonstrating the ability to design and implement scalable AI systems, along with excellent communication skills, is key to succeed in this role.

The work culture for an AI Engineer at Kognity is highly collaborative and supportive. You'll work with a team of passionate individuals who share the mission of enhancing education through technology. Innovation and personal development are paramount, and the company encourages open communication, transparency, and ownership in project contributions.

Yes, Kognity offers flexible work setups for AI Engineers, allowing for hybrid office access. This arrangement gives you the freedom to choose how you work best, whether that’s from home or at our Stockholm office.

AI Engineers at Kognity enjoy a variety of benefits including a home office allowance, a wellness budget, generous paid vacation, full sick pay from day one, and essential tech equipment like a MacBook and iPhone. Moreover, you’ll be part of a pension plan that helps secure your future.

When answering this question, highlight the project goals, your specific responsibilities, the technologies used, and the outcomes. Focus on your decision-making process and how your contributions drove the project forward, showcasing your AI expertise and engineering skills.

Discuss your approach to monitoring performance and evaluating user feedback. You might mention methodologies you use to test for bias and ethical implications, as well as how data privacy is maintained in your AI applications.

Be prepared to detail any hands-on experience you've had with Foundation Models, highlighting the tools or frameworks you’ve used, how you've applied them in real projects, and any specific results you've achieved in improving learning outcomes through your implementations.

Explain your approach to communication and collaboration, perhaps discussing how you simplify complex technical concepts to ensure they are understood by all team members. Share examples of how you’ve created inclusive environments that foster teamwork in cross-functional projects.

Outline your methodology for system design, which could include creating scalable and maintainable architectures. Highlight any frameworks you prefer, and be prepared to discuss real-life applications of your designs and how they met project requirements.

Share specific resources like blogs, conferences, or workshops that help you stay informed. Talk about any learning platforms you use and how you actively apply new trends and technologies to your work as an AI Engineer.

Discuss systematic approaches to debugging, including how you identify and isolate issues, utilize logging and monitoring tools, and refine models through iterative testing. Illustrate your problem-solving skills with concrete examples from your previous work.

Outline your standard practices for ensuring data privacy, such as data anonymization techniques, compliance with regulations like GDPR, and how you educate your team on privacy concerns when developing AI solutions.

Discuss metrics and methodologies you use to track user engagement and feedback. Share any specific case studies where you've measured impact and how you’ve adjusted your strategies based on those insights.

Share your personal journey leading to this career choice, including your interests in technology and education. Highlight how your passion aligns with Kognity's mission to innovate education using AI.