Artificial Intelligence Engineer
Lead AI Engineer – Generative AI & NLP (all genders)
Permanent | Full-time | Frankfurt am Main (hybrid)
About the Company
We are supporting a well-established consulting and development firm specialising in Data & Artificial Intelligence, based in Germany.
The company partners with mid-sized organisations and international enterprises to design, build, and scale production-grade data and AI solutions across a wide range of industries and business domains. Alongside consulting and engineering, the organisation places strong emphasis on knowledge transfer, enablement, and long-term value creation.
Its AI development teams work end-to-end — from early maturity assessments and solution design to implementation and large-scale deployment — combining deep expertise in data engineering, data science, and machine learning.
The Role
As Lead AI Engineer – Generative AI & NLP, you will act as a technical authority and force multiplier for NLP, LLM, and agent-based systems.
You will take end-to-end ownership of key technical topics, work as Technical Lead on demanding client projects, and support multiple initiatives in parallel. In addition to hands-on system design and delivery, you will advise colleagues, contribute to acquisition and positioning activities, and help shape the organisation’s Generative AI capabilities.
Your Responsibilities
- Act as a subject matter expert for NLP, LLMs, and agent-based architectures
- Take end-to-end responsibility for one or more core technical topics in Generative AI
- Serve as the primary technical point of contact for complex GenAI and NLP questions
- Design and lead production-ready Generative AI and NLP systems, optimised for performance, latency, cost, scalability, and complexity
- Coordinate closely with internal teams and client stakeholders
- Present technical solution concepts and support technical communication in proposal and acquisition processes
- Provide technical guidance, mentoring, and constructive feedback to less experienced colleagues
- Contribute to the development of internal products and the expansion of the AI service portfolio
- Support professional marketing and thought leadership initiatives
- Continuously track advances in NLP, LLMs, tools, frameworks, and research, and actively translate them into client solutions
Your Profile
- At least 5 years of professional experience in Data Science, NLP, Machine Learning, or Generative AI
- Deep expertise in NLP- and LLM-based systems, with proven production deployments in complex use cases
- Strong hands-on experience with:
- LLM APIs and agent frameworks
- Vector databases and retrieval-based approaches
- Evaluation methods for GenAI systems
- Very good knowledge of modern ML frameworks such as PyTorch, including fine-tuning, post-training, and inference optimisation
- Ability to develop clean, performant, and scalable code and reliably bring AI systems into production
- Experience with cloud-based architectures and MLOps / deployment workflows on platforms such as AWS, Azure, or GCP
- Confident technical presence when interacting with clients and stakeholders
- Structured, proactive, and independent working style, even in highly complex environments
- Very good German and English skills (C1 level or higher)
What’s Offered
- Diverse and technically challenging projects with well-known clients across industries
- Work at the forefront of Generative AI, NLP, and applied machine learning
- Continuous professional development through mentoring, feedback, and training
- Open, collaborative culture with flat hierarchies and short decision-making paths
- Hybrid working model with a modern Frankfurt office and regular remote flexibility
- Transparent and competitive compensation structure
- High-quality IT equipment and a comprehensive benefits package (mobility, health, and additional perks)
Key Skills
Ranked by relevance
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- Posted
- Jan 08, 2026
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Frankfurt Rhine-Main Metropolitan Area
Industries
Categories
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3 roles aligned with this opportunity
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2026-05-27
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