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