ML AI Architect designing end - to - end AI architectures for fintech platform. Leading AI innovation and ensuring secure, scalable infrastructure for financial services.
About the role
- Junior AI Engineer focusing on Generative AI projects within a hybrid work setting. Collaborating on cutting-edge AI technologies with a team of experts in a growth-oriented firm.
Responsibilities
- Pioneering work with GenAI projects: Work closely with our Data Scientists and Engineers to form a strong team that develops end-to-end generative AI applications and drives innovative solutions.
- Integration and utilization of GenAI: Integrate and orchestrate services from cutting-edge AI infrastructures into a resilient backend — from data sources to the user interface.
- Scalable cloud architectures: Develop scalable software and infrastructure that accelerate AI adoption for our clients and ensure long-term success.
- Consulting & workshops: Deliver real value by advising and supporting our clients from concept through to production rollout.
- Stay up to date: Keep pace with the latest AI technologies together with us and apply them directly in projects.
Requirements
- Completed degree, vocational training, or equivalent qualification.
- Strong proficiency in Python and relevant libraries for API development (FastAPI, Pydantic), as well as AI-specific frameworks and tools.
- Initial experience in developing RAG infrastructures (LLMs, embeddings & vector databases) in an Azure context (or equivalent).
- Some experience with CI/CD workflows and Infrastructure as Code in a cloud environment.
- Very good German language skills and the ability to present complex topics clearly and understandably.
Benefits
- The AI industry is growing rapidly — and we are growing with it.
- Work where you are most productive — at home, in our stylish offices, or on a workation.
- Every minute you invest is directly rewarded — with full overtime compensation and flexible working hours.
- Take on responsibility quickly in an agile environment with flat hierarchies, short decision paths, and direct communication.
- A team of curious minds: plenty of time and support for paid training and certifications, plus regular feedback and development discussions.
- Summer trips, legendary Christmas parties, and regular after-work events.
- Access to the “doQtor” service, a discounted Urban Sports membership, and a company pension scheme.
- Modern offices with height-adjustable desks, shared breaks with PlayStation/Switch and table tennis, or a bit of exercise in the on-site fitness room.
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