Responsibilities
- Train, fine-tune, and deploy generative AI models for real-world applications including churn forecasting, content creation, and trust evaluation, managing full lifecycle ownership of AI solutions
- Design and implement decision-capable AI agents that interact with users and systems, leveraging modular logic and the Model Context Protocol (MCP) for integration with tools and data sources
- Build and manage Retrieval-Augmented Generation (RAG) pipelines and coordinate multi-agent systems using frameworks such as LangGraph, AgentCore, or Strands Agents
- Develop reusable AI services by packaging models into APIs and serverless functions using AWS Lambda and RESTful interfaces for broad internal access
- Connect AI components with enterprise platforms like HubSpot and Salesforce, as well as internal systems, to enable automated end-to-end workflows
- Ensure AI systems are reliable, interpretable, and compliant with regulatory and ethical standards, reflecting organizational values
- Utilize cloud-native technologies on AWS—including Bedrock, SageMaker, Lambda, and ECS/Fargate—to build scalable and resilient AI infrastructure
Benefits
- Hybrid work model allowing remote flexibility combined with periodic in-person collaboration at the Cologne office
- Opportunity to work remotely from any location within the EU, Iceland, Liechtenstein, or Norway for limited durations
- Permanent employment with a recognized European brand
- 28 days of annual leave plus 2.5 extra days off during Christmas, New Year's Eve, and Carnival
- Onboarding support through a buddy program pairing new hires with experienced team members
- Access to personalized training and skill development opportunities
- Regular team and unit-level events to foster collaboration and connection
- Health Pass providing free access to online and in-person sports, fitness, and wellness programs
Work Arrangement
Hybrid — Cologne, Berlin
Other
- Flexible working hours
- Commitment to maintaining a healthy balance between professional and personal life
- Team composed of diverse backgrounds and open perspectives
- Culture rooted in inclusion and purpose-driven work
- Options for remote work
- Allocated time and budget for ongoing learning, AI experimentation, and career growth
- Work environment that values collaboration, curiosity, and mission alignment
- No discrimination based on gender, nationality, ethnic or social origin, religion or belief, disability, age, or sexual orientation and identity