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AI Engineer – Berlin
Hypoport SEAI Engineer building AI and ML-based features at Europace, leveraging modern technologies and collaboration with diverse teams. Focus on scalable solutions, including backend services and data pipelines.
Tech Stack
Tools & technologiesAWS
About the role
Key responsibilities & impact- Development and operation of production AI- and ML-based applications for products, platforms, and internal workflows
- Design and implementation of solutions using LLMs, RAG, and Graph-RAG systems
- Building robust backend services, APIs, and data pipelines
- Monitoring and optimizing model quality, data quality, performance, latency, costs, and reliability of AI systems
Requirements
What you’ll need- Solid experience in developing production AI or ML-based applications
- Strong software engineering skills
- Knowledge of LLMs, RAG, embeddings, agents, knowledge graphs, AI APIs, or automations
- Experience with modern AI/ML platforms, ideally in an AWS environment with services such as Bedrock or SageMaker
- Cross-functional collaboration with Product, Engineering, Data, and business teams
Benefits
Comp & perks- Flexible part-time options — whether due to childcare, mental health challenges, caregiving responsibilities, or returning to work after a longer break, part-time arrangements are possible.
- We are inclusive! Whether you need special aids, have specific needs, or face other barriers, we are committed to finding solutions so you can work with us as accessibly as possible.
- Transparent working environment
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI Application DevelopmentMachine LearningSoftware EngineeringBackend Service DevelopmentData Pipeline ConstructionModel Quality MonitoringPerformance OptimizationData Quality ManagementAPI DevelopmentKnowledge Graphs
Soft Skills
CollaborationCommunication