AI Engineer – Berlin

Hypoport SE

AI 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.

Posted 7/4/2026full-timeRemote • 🇩🇪 GermanyMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and operating AI and ML-based applications, with a strong focus on LLMs, RAG systems, and backend service architecture. Proven ability to collaborate cross-functionally to enhance product and operational workflows.

Highest-signal resume keywords

AI Application DevelopmentMachine Learning ExpertiseLLMs and RAG Systems KnowledgeAWS Services ExperienceCross-Functional Collaboration

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

AI Application DevelopmentMachine LearningSoftware EngineeringBackend Service DevelopmentData Pipeline ConstructionModel Quality MonitoringPerformance OptimizationData Quality ManagementAPI DevelopmentKnowledge Graphs

Soft Skills

CollaborationCommunication

Tools & Technologies

AWS BedrockAWS SageMakerAI APIs

Industry Keywords

Production AI ApplicationsML-Based ApplicationsEmbeddingsAgentsAutomations

Tech Stack

Tools & technologies

AWS

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