About us
We represent a client who are providing an innovative financial services platform - made by and for finance enthusiasts. Focusing on smart technologies, data-driven solutions, and in-depth insurance and investment expertise, the company helps their partners get the most out of consulting services.
To implement their group-wide AI vision, a new in-house AI team is being established. The current need is for an experienced candidate to focus on Large Language Models (LLMs), scalable system architectures, and production-ready AI applications. While also playing a key role in building the team, shaping the technical direction and developing smart solutions with real impact.
Tasks
* Manage and coach a new 6-person group-wide AI development team.
* Design, build, and scale production-ready LLM, RAG, and agentic systems.
* Develop AI Insurance Advisors, policy analysis tools, and automated document processors.
* Select tools and manage scalable enterprise AI infrastructure across cloud or on-prem.
* Connect modular AI pipelines into existing corporate .NET stacks and APIs.
* Partner with IT, business units, and the board from ideation to production.
Profile
* 3+ years working expereince in software development, data science, or AI engineering.
* Advanced skills in LLMs, RAG, agentic systems, and model fine-tuning.
* Proven track record building scalable AI pipelines and LLMOps/MLOps infrastructure.
* Proficiency in Python, vector databases, cloud platforms (Azure/AWS/GCP), and ideally .NET/TypeScript.
* Background in technical mentoring, team leadership, and strategic architecture.
* Fluency in both German and English.
We offer
* Build a central AI team shaping the product roadmap of a successful FinTech company.
* Own a group-wide AI platform with direct reporting lines and high executive exposure.
* Enjoy complete autonomy over architecture, infrastructure, and tool selection.
* Benefit from a hybrid model combining remote flexibility with a modern office in Wiesbaden/Mainz.
* Work with rapid decision-making processes and high individual responsibility.
* Receive an attractive compensation package, certified training, and employee benefits.
Contact:
Jack Rushman -