Senior AI Engineer

Eckdaten

Berlin
AI Training

Arbeitsmodell

Remote first
Nur DE
vor 1 Woche
Stellenbeschreibung

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