Senior AI Engineer

Kittl is transforming graphic design with an intuitive platform as a modern alternative to traditional design tools, aiming to be the new Adobe of tomorrow.
Machine Learning
Senior Software Engineer
Hybrid
101 - 500 Employees
5+ years of experience
AI

Description For Senior AI Engineer

Kittl, a rapidly growing company that has raised over $45M in funding, is seeking a Senior AI Engineer to lead their AI Platform team. The company, with 120+ team members from 30+ countries, has achieved millions of users within just two years of launch. As the Senior AI Engineer, you'll be instrumental in driving AI initiatives across the company, focusing on integrating state-of-the-art models into their product ecosystem, specifically for graphic design. The role involves leading AI infrastructure development, optimizing model deployment, and working directly with the CTO. The position offers a hybrid working environment based in Berlin, with three office days per week. The company is expanding, with plans for a London office in 2025. This role is perfect for someone with deep expertise in AI and machine learning, particularly with diffusion models, who can bridge technical excellence with business strategy. The position offers comprehensive benefits including flexible working hours, remote work options, professional development opportunities, and various lifestyle perks. Kittl's mission to redefine graphic design through AI innovation makes this an exciting opportunity for someone passionate about pushing the boundaries of AI in creative technologies.

Last updated an hour ago

Responsibilities For Senior AI Engineer

  • Lead AI infrastructure development and maintain internal AI inference infrastructure
  • Develop and execute technical roadmap for AI, aligning with business objectives
  • Establish processes and best practices for AI adoption across teams
  • Optimize AI performance and ensure cost-effective AI inference
  • Work closely with product and business teams to translate goals into AI solutions

Requirements For Senior AI Engineer

Python
  • 5 years experience in deploying and optimizing deep learning models
  • 1-2 years focus on diffusion models
  • Strong knowledge of AI infrastructure and cloud platforms
  • Proficiency in Python, Pytorch, Diffusers, and distributed computing
  • Strong communication and collaboration skills
  • Ability to define and execute AI strategy
  • Stay up-to-date with latest AI advancements

Benefits For Senior AI Engineer

Education Budget
  • Flexible working hours with core hours 11am-5pm CET
  • Up to 50 days remote work per year
  • Learning & development budget
  • Monthly BVG public transport ticket
  • Urban Sports Club membership discount
  • Up to 30 vacation days per year
  • Quarterly hackathons
  • Annual Kittl Week team gathering

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