Generative AI Engineer (all Genders) for Hamburg - #2156377

Digitl is a young and innovative company in the field of marketing and cloud technology. In a collaborative and cross-functional environment, we develop new concepts to lead our customers of different industries into a digital-driven future. Be part of it, and bring in your own fresh and forward-looking ideas as a Generative AI Engineer to drive Digitl's further development.

As a Generative AI Engineer, your role will be to build next-generation AI features that transform digital marketing and analytics. This role combines AI engineering with cross-functional collaboration in a dynamic and data-driven environment.

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  Research & Experimentation: Research state-of-the-art ML and agent frameworks with the goal of designing and building effective multi-agent solutions.

  
  


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  End-to-End Development: Turn prototypes into production-ready microservices and modular components. Architect scalable and robust AI features that integrate with digital marketing and analytics solutions.

  
  


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  Deployment & Infrastructure: Use Vertex AI to build, train, and deploy machine learning models efficiently in a cloud-native environment.

  
  


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  Cross-functional Collaboration: Work closely with teams from Cloud, Ad Technology, and Digital Analytics. Support the integration of AI-driven use cases such as intelligent chatbots, personalized recommendations, content generation, and multimodal interfaces.

  
  


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  Knowledge Transfer & Enablement: Communicate complex AI concepts to non-technical stakeholders. Conduct workshops and create documentation to enable teams across the business.

  
  

• 3+ years of experience in machine learning engineering, backend development, or related fields


• Proven track record of developing and deploying LLM-based systems: multi-turn dialogues, tool usage, and RAG pipelines


• Hands-on with Agent Development Kit, LangChain, LangGraph, or comparable frameworks for agent-driven applications


• Strong Python programming skills and experience with ML frameworks (TensorFlow, PyTorch)


• Deep understanding of MLOps/LLMOps: versioning, CI/CD, monitoring, and concept drift detection


• Solid knowledge of data engineering: ETL processes, cloud-based and vector databases


• Excellent communication skills in English (German a strong plus)


• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

Co-Working - you have a place in the best co-working spaces in Düsseldorf, Zurich, Barcelona or Hamburg at your disposal.

Remote 1st - all our processes are designed for decentralized working. You decide whether you prefer to work in your home office or spend your day from one of our offices

Home Office Equipment - we provide you with a standard for your remote working environment

Animal Lovers - If you have a dog, you can bring it to any of our offices

Skill Building - As a highly specialized technology partner, we support your development with certificates, conference attendance and training