AI Engineer – Python, LLMs, NLP, Machine Learning – Frankfurt / Hybrid – €90–100K
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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- Posted
- Oct 03, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Frankfurt Rhine-Main Metropolitan Area
- Company
- Findr
Industries
Categories
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