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Senior 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 Senior 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

  • 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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Average salary estimate

$100000 / YEARLY (est.)
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$80000K
$120000K

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

Are you an innovative thinker looking to make a significant impact in the realm of artificial intelligence? Kittl, a leading company revolutionizing graphic design, is on the lookout for a Senior AI Engineer to join our dynamic team in Berlin! With our recent Series B funding, we are excited to expand our workforce and drive forward our mission to create a modern alternative to traditional design tools. As a Senior AI Engineer at Kittl, you'll spearhead the AI Platform team, working closely with product managers and stakeholders to integrate cutting-edge models that will enhance user experiences across our platform. You’ll have the opportunity to architect and evolve our AI inference infrastructure while developing a strategic AI roadmap aligned with our business objectives. We put a high emphasis on collaboration, and you’ll be sharing your expertise to help fellow engineers and product managers leverage AI effectively. This role is perfect for someone with strong experience in deep learning and infrastructure who is passionate about transforming workflows through innovative technology. You’ll be part of a diverse team that values openness and creativity, and as we set our sights on expanding to London in 2025, there has never been a more exciting time to join us! If you thrive in a collaborative, product-led environment where you can drive real change, we’d love to hear from you!

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

As a Senior AI Engineer at Kittl, your responsibilities will include leading the development and maintenance of our AI infrastructure, driving the AI strategy and roadmap aligned with business goals, and overseeing cross-team AI adoption. You'll also optimize AI performance for efficient deployment and collaborate closely with product and business teams to deliver impactful AI solutions.

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What qualifications are needed for the Senior AI Engineer position at Kittl?

To qualify for the Senior AI Engineer role at Kittl, candidates should possess at least 5 years of experience in deploying and optimizing deep learning models, with a focus on diffusion models for 1-2 years. A strong background in AI infrastructure and cloud platforms (AWS, GCP, or Azure) is also essential, alongside strategic and leadership skills, hands-on proficiency in Python and Pytorch, and excellent communication abilities.

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What benefits do Senior AI Engineers receive at Kittl?

Senior AI Engineers at Kittl enjoy a range of benefits, including flexible working hours, opportunities for remote work, a dedicated learning and development budget, and substantial vacation days. Additionally, Kittl fosters a culture of innovation with quarterly hackathons and promotes team bonding through events like Kittl Week.

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How does Kittl promote diversity within the Senior AI Engineer role?

Kittl values diversity and inclusivity, embracing unique backgrounds and experiences. As a Senior AI Engineer, you will be part of a diverse team representing over 30 countries, where respect and support create an environment that fosters growth and collaboration.

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What is the work environment like for Senior AI Engineers at Kittl?

The work environment at Kittl is vibrant and collaborative, with a hybrid working culture in Berlin. Seniors AI Engineers will work primarily from the office three days a week, allowing for ongoing teamwork while also enjoying flexibility in their schedules. Kittl emphasizes interaction among team members across departments to maximize innovation.

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

When answering this question, be sure to detail the specific deep learning projects you've worked on, emphasizing your role in deployment and optimization. Discuss any challenges you faced and how you overcame them, focusing on results and metrics that showcase your impact.

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What strategies do you implement to optimize AI performance?

A compelling answer here would include mentioning techniques like hyperparameter tuning, model selection, and resource allocation strategies. Discuss any specific tools you've used and how they helped in achieving efficiency gains with examples.

Join Rise to see the full answer
How do you approach collaboration with non-technical stakeholders?

Effective communication is key when collaborating with non-technical stakeholders. You should discuss how you simplify complex AI concepts and ensure alignment on goals. Providing examples of past experiences where successful collaboration led to the accomplishment of project objectives can enhance your answer.

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What is your experience with AI infrastructure and cloud platforms?

Here, provide a summary of your experience with infrastructure like AWS, GCP, or Azure. Highlight specific projects or achievements where your understanding of cloud platforms directly benefitted AI initiatives, and mention any challenges you addressed regarding scalability and cost efficiency.

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Explain a challenging AI project you worked on.

When sharing a challenging project, structure your narrative using the STAR method (Situation, Task, Action, Result). Describe the complexities involved, the innovative methods you applied to resolve issues, and the ultimate success of the project in relation to Kittl’s goals.

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How do you stay updated on the latest advancements in AI?

Demonstrate your commitment to continuous learning by mentioning the resources you utilize, such as online courses, conferences, or influential publications. You might also note any specific areas of AI you are particularly interested in and how that motivates your professional development.

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Can you detail your experience with Gen AI?

Be prepared to discuss your specific experiences with generative AI, including projects where you’ve utilized diffusion models. Explain the application of these technologies to practical use cases and what impact they had on the user experience or product functionality.

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How would you approach building an AI roadmap in alignment with business objectives?

To answer this, articulate a systematic approach you would take, such as performing stakeholder interviews, assessing current AI capabilities, conducting market analysis, and drafting measurable AI goals. Discuss how you prioritize initiatives based on business impact and feasibility.

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What best practices do you believe are crucial for responsible AI adoption?

Your response should touch on crucial aspects like ethical guidelines, bias mitigation, transparency in AI decision-making, and adhering to data privacy laws. Providing examples of how you've implemented such practices will demonstrate your leadership in this area.

Join Rise to see the full answer
How would you enable cross-team adoption of AI technologies?

Describe a structured approach, such as workshops, training sessions, and available resources to ensure teams understand the importance and practical applications of AI. Emphasize the importance of creating a collaborative culture that fosters AI-driven decision-making.

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Full-time, hybrid
DATE POSTED
April 3, 2025

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