AI Engineer (Berlin, Germany) at Enjins
Berlin, , Germany -
Full Time


Start Date

Immediate

Expiry Date

30 Sep, 25

Salary

0.0

Posted On

01 Jul, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Cloud Services, Git, Sql, Software, Kubernetes, Azure, Docker, Programming Languages, Aws, Python, Containerization, Machine Learning

Industry

Computer Software/Engineering

Description

HEY THERE!

Are you an ambitious AI Engineer looking for your next challenge? Do you want to leverage your software engineering and AI/ML skills to help innovative scale-ups solve real-world problems and drive climate impact? Furthermore, are you ready to grow your skills — and grow Enjins — at the same time? Then keep reading!

ABOUT US

Our mission is to become the leading AI engineering partner for tech scale-ups, trusted by top talent and forward-thinking clients alike. We focus on industries where AI can drive meaningful impact: ClimateTech, Mobility, and Marketplaces.

YOUR TECH SKILLS:

  • You’ve extensive software engineering experience in Python, SQL, and git. Other languages or frameworks are a big plus.
  • You have experience with at least one major cloud platform (AWS, Azure or GCP) and its data engineering components.
  • You are familiar with software and data engineering concepts like containerization (Kubernetes & Docker), networking, ETL/ELT-tools and understand the basic concepts of MLOps and LLMOps.
  • You have experience with machine learning and know how to create ML models and bring them to production.
  • Hands-on experience delivering end-to-end GenAI solutions, including working with multi-component pipelines (MCPs) and agent-based architectures (Agentic AI) is a plus.
  • You’ve applied the above concepts in one or more relevant jobs or personal projects.
  • You are a passionate engineer who wants to make a positive impact on our world and loves discovering new programming languages, frameworks or cloud services. After all, our world is changing continuously!
    At Enjins, our success hinges upon the quality of our team and the breadth of their ideas. We believe that truly remarkable insights and innovative solutions for our customers emerge from the rich interplay of diverse cultures, knowledge, and experiences among our workforce.
Responsibilities

WHAT? [YOU’LL BE DOING]

As an AI Engineer, you’ll work within our growing team, comprising other equally amazing AI Engineers across our two offices in Berlin and Utrecht (NL).
In this role, there is plenty of room for your ideas. Our team is growing fast — and if you’re eager to grow too, we’re here to give you the space, support, and challenges to make it happen. We’re flexible, and as long as you’re proactive and take responsibility for your own work, we’ll be a great match!

SOME OF THE RESPONSIBILITIES [BUT NOT LIMITED TO]

  • You become a full member of our fast-growing AI Engineering team.
  • You’ll work in small teams on AI/ML/GenAI projects for innovative Berlin-based clients in ClimateTech, Mobility, and Online Marketplaces.
  • You’ll develop and implement robust AI/ML applications for our clients.
  • You’ll apply your data engineering, computer science, and machine learning knowledge on projects, working with the latest technologies such as Kubernetes, Airflow, and Kafka.
  • You’ll bridge the gap between technical solutions and business needs, ensuring our AI/ML applications create real impact for the people who use them.
  • Together we will keep building our young company Enjins, in which you will play a more and more important role!

We look for people that want to enjoy the ride of a start-up and benefit from the freedom in the role:

  • The chance to make a real impact on climate change through AI.
  • An enthusiastic, ambitious team of AI engineers.
  • A buzzing office at Berlin’s epicenter of AI innovation: The Merantix AI Campus.
  • Daily collaboration with our Lead AI Engineer and other (NL-based) leadership team members.
  • A customer portfolio consisting of Berlin (and German based) scale-ups and tech leaders.
  • A dedicated training program (M-Leap) and 1-on-1 coaching to support your growth.
  • Hybrid working setup, with a team that values in-office collaboration for learning and knowledge sharing.
  • And last but not least, a lot of fun! We promise
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