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Principal AI Engineer (Berlin, hybrid)

We’re in an exciting growth phase following our Series B funding and are expanding our team. Our hybrid working culture includes three office days per week (Monday, Wednesday, and Friday) at our Berlin headquarters. Looking ahead, we’re also growing London as our second location, with a new office planned for 2025.

A little about us

  • Redefining graphic design: Kittl is transforming how creators work with an intuitive platform that stands as a modern, competitive alternative to traditional design tools: Build the new Adobe of tomorrow.

  • Rapid growth: Millions of users within just two years of launch

  • Diverse team: 120+ team members representing 30+ different countries

  • Truly product-led company: Engineers, Product managers and designers are at the core of Kittl - shaping an engineering driven working culture

  • Strong funding: Raised over $45M from world-renowned investors who have also backed companies like Slack, Dropbox, and Figma

Learn more: www.kittl.com/career

Your role at Kittl

As a Principal AI Engineer at Kittl, you will lead the AI Platform team, driving AI initiatives across the company and ensuring seamless integration of state of the art models into our product ecosystem. Your work will directly influence the development of transformative features, optimizing workflows, and scaling AI-powered capabilities, specifically for graphic design. You will collaborate closely with product and business stakeholders to align AI advancements with strategic goals while maintaining and evolving the internal AI infrastructure. You will report to the CTO.

What you’ll do 

  • Lead AI infrastructure development: Architect, maintain, and evolve the internal AI inference infrastructure to support scalable and efficient model deployment

  • Drive AI strategy & roadmap: Develop and execute the technical roadmap for AI at Kittl, aligning it with business objectives while identifying opportunities for AI-driven innovation across the company. Establish best practices, ethical guidelines, and governance frameworks to ensure responsible AI adoption and a sustainable, long-term AI strategy

  • Enable cross-team AI adoption: Establish processes and best practices to help product managers and engineers uncover AI opportunities, fostering AI-driven decision-making across teams

  • Optimize AI performance & efficiency: Ensure robust, scalable, and cost-effective AI inference by optimizing model deployment, resource allocation, and infrastructure scalability

  • Bridge product & business needs: Work closely with product and business teams to translate high-level goals into actionable AI solutions, ensuring AI initiatives deliver measurable impact

What you’ll need

  • Experience with Gen AI & deep learning: At least 5 years of demonstrated success in deploying and optimizing deep learning models in production, with at least 1-2 years of focus on diffusion models

  • Leadership: At least 2 years in a leadership role guiding teams and defining AI strategy

  • Infrastructure & scalability expertise: Strong knowledge of AI infrastructure, cloud platforms (AWS, GCP, or Azure), and model optimization techniques for efficient deployment

  • Strategic & leadership skills: Ability to define and execute an AI strategy, aligning technical roadmaps with business goals while guiding cross-functional teams

  • Hands-on technical skills: Proficiency in Python, Pytorch, Diffusers, and distributed computing frameworks

  • Strong communication & collaboration: Ability to convey complex AI concepts to technical and non-technical stakeholders, driving alignment and adoption across teams

  • Continuous learning & adaptability: Stay up-to-date with the latest advancements in AI, ensuring Kittl remains at the forefront of innovation in a rapidly evolving field

Interview process

  • Recruiter interview (30 min)

  • Hiring manager interview (45 min)

  • Technical take home assignment

  • Take home assignment discussion (60 min)

  • Gen AI system design interview (30 min)

  • Engineering leadership interview with CTO (30 min)

  • Product Manager & Chief of Staff bar raiser interview (45 min)

We are looking for someone

  • Exceptionally driven to drive impact and challenge the status quo

  • Who takes extreme ownership & gets things done

  • Who goes above and beyond in their role

  • Who is deeply passionate about what they do

Benefits

  • Maximise your impact: No matter if you’re leading a team or you stand out by your domain expertise - all we care about is supporting you to maximise your own impact

  • Hackathons: Our quarterly hackathons provide an environment to experiment with new concepts, push boundaries, and potentially deliver the next big thing.

  • Kittl Week: Each year, our global team gathers together for a whole week, to work, celebrate, get inspired, and have fun

  • Flexible working hours: Our core hours are 11am–5pm CET, leaving the rest of your schedule flexible to fit your style

  • Remote work: Work up to 50 days (10 weeks) fully remote per year from anywhere in the world, as long as you maintain our core hours

  • Learning & development: Our L&D budget supports your professional growth 

  • Mobility benefit: We fully cover your monthly BVG public transport ticket

  • Health and fitness: Urban Sports Club membership discount

  • Vacation: Up to 30 vacation days per year

#li-hybrid

🌈 At Kittl, we embrace diversity and value every team member's unique background, identity, and experience. We're all about respect, honesty, and inclusivity. Together, we create a safe and supportive work environment where everyone thrives. Join us on this exciting journey of making our company and product even better!

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What You Should Know About Principal AI Engineer (Berlin, hybrid), Kittl

Exciting times are ahead at Kittl as we expand our team and seek a Principal AI Engineer to join us in Berlin! With our recent Series B funding, Kittl is on a transformative mission to redefine graphic design through an intuitive platform that competes with traditional tools. As a Principal AI Engineer, you’ll spearhead our AI Platform team, guiding innovative initiatives that directly impact our product ecosystem. Your expertise will help us integrate state-of-the-art AI models that enhance graphic design workflows and functionalities. Your collaboration with product and business stakeholders will ensure our AI advancements align with company goals while maintaining our internal AI infrastructure. If you possess a robust background in deep learning, along with experience in leadership and strategic execution, you’ll thrive in this role. By developing our technical AI roadmap and optimizing our infrastructure for scalability and cost-effectiveness, your contributions will not only drive significant change in our company but also enrich the creator experience. Also, with a hybrid work culture that allows for flexible working and a supportive environment for continuous learning, your journey with Kittl will be both rewarding and impactful. Join us as we build the future of design technology together!

Frequently Asked Questions (FAQs) for Principal AI Engineer (Berlin, hybrid) Role at Kittl
What are the key responsibilities of a Principal AI Engineer at Kittl?

As the Principal AI Engineer at Kittl, your primary responsibilities will include leading AI infrastructure development, driving AI strategy and executing the technical roadmap, and fostering AI adoption across teams. You will ensure effective collaboration between product and business teams while maintaining scalable and cost-effective AI systems aligned with Kittl’s business objectives.

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What qualifications are required for the Principal AI Engineer position at Kittl?

To be considered for the Principal AI Engineer role at Kittl, candidates should have at least 5 years of experience in deploying deep learning models, along with a focus on generative AI. You should have a proven leadership background, a strong understanding of AI infrastructure and cloud platforms, and hands-on technical skills in Python and associated frameworks to succeed in this role.

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How does the AI strategy impact Kittl’s product development?

The AI strategy led by the Principal AI Engineer at Kittl plays a pivotal role in shaping product development. By aligning AI advancements with strategic goals, you’ll help in delivering innovative features that can enhance user experiences, optimize workflows, and ensure that Kittl's solutions remain competitive and cutting-edge in the graphic design space.

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What is the work culture like for the Principal AI Engineer at Kittl?

Kittl embraces a hybrid work culture, allowing for a balanced blend of remote and in-office work. You’ll have the opportunity to collaborate with a diverse team in Berlin while enjoying flexible working hours and participating in unique events like hackathons, aimed at fostering creativity and innovation within the workplace.

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What types of projects will the Principal AI Engineer at Kittl work on?

As a Principal AI Engineer at Kittl, you will spearhead projects focused on integrating AI capabilities into our design platform. This includes developing AI-driven features, optimizing AI performance, and ensuring the infrastructure supports scalable deployment. You’ll have the chance to work on projects that drive impactful transformation in the graphic design industry.

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Common Interview Questions for Principal AI Engineer (Berlin, hybrid)
Can you describe your experience with deep learning models?

When answering this question, highlight specific projects where you successfully deployed and optimized deep learning models, particularly focusing on any innovative applications related to generative AI. Discuss the challenges faced, the solutions you implemented, and the outcomes achieved to showcase your hands-on experience.

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How do you define and implement an AI strategy?

In your response, detail your approach to developing an AI strategy, starting from aligning the strategy with business objectives to identifying key opportunities for innovation. Provide examples of how you have successfully led AI initiatives in past roles and the metrics you used to measure success.

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How have you approached collaboration with cross-functional teams?

Address your collaboration strategies, focusing on specific instances where you worked with product managers or engineers. Highlight how you translated complex AI concepts into actionable insights that drove alignment and understanding among non-technical stakeholders.

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What experience do you have with AI infrastructure and cloud platforms?

Discuss your familiarity with AI infrastructure technologies, specifically mentioning any platforms like AWS, GCP, or Azure that you have used. Illustrate examples where you have architected AI solutions or optimized deployment processes for scalability and efficiency.

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Can you provide an example of a successful AI-driven innovation you developed?

Share a specific case that demonstrates your capacity for innovation within AI. Describe the problem you solved, how you identified the opportunity, the development process, and the significant impact it had on the business to convey your innovative mindset.

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How do you ensure the ethical use of AI in your work?

Outline your understanding of ethical AI practices and provide an example of how you have incorporated ethical guidelines into AI projects. Emphasize the importance of responsible AI and how you work to align AI developments with company values.

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How do you stay current with AI advancements?

Discuss your strategies for continuous learning and staying abreast of the latest developments in AI. Mention specific resources, conferences, or communities you engage with, demonstrating your commitment to professional growth and innovation.

Join Rise to see the full answer
What are your hands-on experiences with programming languages and frameworks for AI?

Make sure to elaborate on your proficiency in programming languages, particularly Python, and any specific libraries or frameworks. Mention projects where you effectively utilized PyTorch and distributed computing frameworks to illustrate your technical capabilities.

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How do you measure the impact of your AI initiatives?

Describe the key performance indicators (KPIs) you set to evaluate AI projects. Give instances of how you assessed both qualitative and quantitative impacts to communicate success and guide future AI strategy adjustments effectively.

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What challenges do you foresee in AI implementation in the design space?

Discuss potential challenges such as user acceptance, ethical considerations, or technical scalability. Share insights regarding how you would approach these challenges, showcasing your problem-solving skills and strategic thinking.

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Inclusive & Diverse
Empathetic
Collaboration over Competition
Growth & Learning
Transparent & Candid
Medical Insurance
Dental Insurance
Mental Health Resources
Life insurance
Disability Insurance
Child Care stipend
Employee Resource Groups
Learning & Development

Step into a pivotal role with American Express as a Senior Engineer, leading teams and driving innovative solutions for corporate clients.

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Full-time, hybrid
DATE POSTED
February 20, 2025

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