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Staff GenAI Engineer (m/w/d)

Getsafe

Getsafe

Berlin, Germany
Posted on Feb 21, 2025

Getsafe is the digital insurance company guiding people to make smart life choices and there by their side when the worst happens. Getsafe makes insurance simple, fair and accessible with its unique technological platform and all-in-one app. Our digital insurance replaces complexity and manual paperwork with smart assistants; customers can file claims or change their coverage in real time with just a few taps on their smartphone. Our expert consultants are ready to help with questions or choosing the best insurance tailored to any life situation. No German? No problem! Getsafe offers insurance and support 100% in English, so people can get covered, and get on with enjoying life.

Since launching in Germany in 2018, Getsafe has become one of the best-rated insurtechs in Europe, serving over 500,000 customers. Headquartered in Heidelberg, Germany, with an additional office in Berlin, the company employs more than 200 people. In 2021, Getsafe received its insurance license from Germany’s financial regulator, BaFin. With €120 million raised to date, it is one of Europe’s top 10 funded insurtechs.

WHAT WE’RE LOOKING FOR:

Are you driven by the potential of GenAI to revolutionize business? Then you are in the right place. Getsafe is at the forefront of applications for GenAI - as the insurance business is 100% conversation driven. From automating conversations with our customers about the perfect product fit or in the event of a damage - there are endless possibilities and opportunities. Are you ready to join a team where your work will not just enhance the experience of hundreds of thousands of our customers but will shape the core of our industry for years to come? Apply now and join our journey.

YOUR MISSION:

  • As a Staff Engineer, you are a central part of the Engineering team, where your role is characterized by responsibility for strategic issues, technical expertise as well as spearheading the development of new products. In doing so, you will examine the strategic direction of the company, keep an eye on market-related trends, drive forward with related topics across the board and empower your peers.
  • You will build the bridge between technologist and business in your role. You will help explore the possibilities of generative AI and machine learning.
  • You'll help the company exploit the full potential of large language models. In addition, you will introduce and optimize techniques to make the most of the diverse machine learning opportunities and to develop innovative solutions.
  • You will discuss in-depth and complex industry-specific business concepts with technologists and the management team to develop innovative strategies and develop tailored solutions. In doing so, you contribute your comprehensive expertise to unite different perspectives and make forward-looking decisions.
  • You will work closely with software development engineers, data scientists, MLOps engineers, product and business owners to design and implement Generative AI driven solutions balancing benefits of custom solutions and standardization opportunities ensuring production grade services

ABOUT YOU:

  • You are holding a Master's degree in Computer Science, Data Science, Statistics, or a related field of studies. PhD is a plus
  • You have in-depth experience in machine learning, generative AI, data science, Python and cloud native technologies. This also includes automation and cloud architecture. With your expert knowledge and several years of practical experience, you know exactly how to create real value and develop innovative solutions by using machine learning.
  • You have several proven years of experience in implementing large-scale applications and ensure that the AI solutions developed are robust, scalable and efficient. Your expertise allows you to successfully implement complex projects while always ensuring the highest quality standards.
  • You have practical experience with OpenAI or AWS Bedrock or with the open-source models, e.g. Llama
  • You have worked with Generative AI orchestration frameworks like LangChain
  • You have experience with LLMOps and continuous integration/continuous deployment approaches in the context of GenAI
  • You communicate fluently in English

GETSAFE PRINCIPLES:

Customer Empathy 🤝
We simplify insurance by aligning our vision with every interaction, maintaining transparency, and building togetherness and trust with our customers.

Absolute Ownership🔛
We pursue excellence relentlessly, taking full ownership, and ensuring everyone knows their role to contribute to our mission.

Day One Mindset 🌱
We strive to continually act as pacemakers, constantly optimizing, thinking ahead, and inspiring greatness to build a scalable and impactful future.

Driver Team 🏎️
We communicate effectively, collaborate positively, and drive success as equals, united by respect and an inspiring mission.

YOUR BENEFITS:

Your Journey With Us:

  • Join us in Berlin or Heidelberg and be part of our hybrid culture, with the flexibility to work remotely.
  • Be part of our growth journey through our Employee Stock Ownership Program (VSOPs), where you can claim your stake in the company and share in our success.
  • Celebrate with us at regular team gatherings, including company strategy weeks, onsite events, local meet ups, seasonal celebrations, and after work socials.

Flexible Benefits:

  • Monthly €50 flex benefit budget, allowing you to choose what suits you best — whether it’s for your Deutschlandticket, office lunches, or remote setup.
  • Monthly Getsafe insurance voucher to safeguard what matters most to you.
  • Workation for 90 days within the EU, giving you more freedom to balance work and travel.

We Believe In:

  • Balance: 30 vacation days — enjoy 28 regular days and 2 special days — your birthday and half days on December 24th & 31st.
  • Growth: Benefit from our annual €1,000 development budget to invest in your personal and professional growth.

Getsafe is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status or disability status.

Interested? Let's chat!