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Eurobase People Linkedin · Posted 15d ago

Senior AI Engineer

Berlin, Berlin, Germany

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Senior AI Engineer (LLM, NLP)


Build LLM‑powered products at the forefront of marketing and advertising AI.


We’re a well‑funded, fast‑moving startup (Series B, $43M) with engineering based in Europe. You’ll own the LLM stack, work with cross‑functional teams, and shape the future of AI‑driven marketing for enterprise brands.


Location: Berlin


What you’ll do

  • Lead LLM development – Train, fine‑tune, and deploy large language models for complex NLP tasks (marketing & advertising domain).
  • Build robust architecture – Implement scalable, production‑ready systems for LLM inference, monitoring, and continuous improvement.
  • Evaluate & optimise – Improve accuracy, efficiency, reliability. Tackle data quality, bias mitigation, and interpretability.
  • Stay current – Follow latest NLP/AI research, run experiments, prototype new ideas.
  • Collaborate – Work with application engineers, product managers, and designers to shape impactful solutions.
  • Mentor – Guide junior team members and foster a culture of innovation.


Who you are


Must‑haves:

  • Industry experience deploying LLMs or large NLP models in production – not just research or side projects.
  • Strong Python and ML frameworks (PyTorch, TensorFlow, or similar).
  • Deep understanding of machine learning, NLP, and LLM fine‑tuning / training.
  • Data skills – preprocessing, feature engineering, model evaluation techniques.
  • Problem‑solving – analytical, creative, and able to tackle ambiguous challenges.
  • Communication – explain complex technical concepts to non‑technical stakeholders.
  • Location – based in Germany (Berlin or remote within Germany).


Nice to have (not required):

  • Experience with marketing tech, ad tech, or brand safety.
  • Track record of published research or open‑source contributions in LLMs.
  • Mentorship/leadership experience.


Why you’ll love this

  • Ground floor – Join a fast‑moving startup at the center of the AI marketing revolution.
  • Ownership – You’ll hold direct responsibility for the LLM technology stack.
  • Impact – Your work will be used by enterprise brands.
  • Experienced team – Industry veterans who previously built foundational ad‑tech platforms.
  • Flexibility – Hybrid in Berlin or fully remote within Germany.
  • Growth – True meritocracy. Career upside as the business scales.


How we hire

  1. Screen (30 min) – Talk about your LLM deployment experience and technical depth.
  2. Technical interview (1h) – ML/NLP fundamentals, LLM fine‑tuning, production challenges.
  3. Take‑home or live coding (optional) – Small LLM‑related task.
  4. Team interview (1h) – Meet engineers and product managers.
  5. Offer

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