Findr
AI Engineer – Python, LLMs, NLP, Machine Learning – Frankfurt / Hybrid – €90–100K
FindrGermany1 day ago
Full-timeRemote FriendlyEngineering, Information Technology +1

AI Engineer – Python, LLMs, NLP, Machine Learning – Frankfurt / Hybrid – €90–100K


Join a growing AI team building production-ready systems that help businesses unlock the value of their data.


This is a hands-on role for someone who enjoys turning cutting-edge research into real-world impact. You’ll work on a variety of projects, from building LLM-powered search engines to deploying scalable ML pipelines for enterprise customers.


The work is diverse, the team is small, and your ideas will shape what comes next.


What you’ll do:

  • Build and fine-tune NLP and ML models, including transformer-based architectures
  • Develop and deploy AI features using Python, FastAPI, and cloud infrastructure
  • Contribute to data pipelines, prompt tuning, vector search, and retrieval-based systems
  • Work cross-functionally with product teams, data engineers, and domain experts
  • Stay up to date with the latest research and help bring innovative ideas into production


What we’re looking for:

  • Strong experience in applied machine learning and/or NLP
  • Proficiency with Python and libraries like PyTorch, TensorFlow, Hugging Face, or scikit-learn
  • Familiarity with tools like LangChain, Weaviate, or vector databases is a plus
  • Experience deploying models into production (Docker, CI/CD, cloud)
  • Bachelor’s or Master’s in Computer Science, AI, Data Science, or related field


What’s on offer:

  • Hybrid working model – 2–3 days per week in the Frankfurt office
  • Clear roadmap of AI initiatives and budget to support them
  • Small, highly motivated team with low bureaucracy
  • Competitive salary, 30 days holiday, and professional development support
  • A chance to shape the next generation of AI-powered tools


If you’re excited about building real AI products – not just prototypes – apply now to grab one of three available interview slots.

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