A hands-on AI engineer fine-tunes and deploys open-source LLMs (Llama, Mistral, Qwen) for domain-specific use cases like tax and accounting across Greenpeak's platform companies, building reusable data prep, LoRA fine-tuning, RAG, and evaluation pipelines on GDPR-compliant infrastructure. Munich-based with flexible working, working directly with platform teams and domain experts.
We're looking for a hands-on AI engineer who adapts open-source models so our platforms, for example our tax advisory group, can develop and operate their own specialised models.
Select, fine-tune and evaluate open-source LLMs (e.g. Llama, Mistral, Qwen) for domain-specific use cases such as tax, accounting and advisory workflows
Build reusable pipelines for data preparation, fine-tuning (LoRA/QLoRA), RAG and model evaluation that can be rolled out across multiple platforms
Deploy and run models on sovereign, GDPR-compliant infrastructure, with confidentiality requirements of regulated professions built in from day one
Work directly with platform management and domain experts to turn real workflows into working AI products
Enable platform teams to maintain and further develop their models independently
• Several years of experience training, fine-tuning or deploying LLMs in production • Strong Python and hands-on experience with PyTorch, Hugging Face, vLLM or similar • Solid understanding of MLOps, GPU infrastructure and model evaluation • A builder mindset: you enjoy moving from prototype to production quickly • Fluent English; German is a strong plus • Join our Core AI Team and shape the AI strategy of an entire portfolio from the start • Real impact: your models go live in companies with thousands of employees and clients • Entrepreneurial environment with short decision paths and direct access to leadership • Munich-based, with flexible working