Senior Data Engineer, AI Engineer

ARTHEMIQ AG

Senior Data & AI-Engineer developing data-driven and AI solutions for healthcare markets. Collaborating closely with clients and internal teams to integrate advanced technologies.

Posted 4/26/2026full-timeRemote • 🇩🇪 GermanySeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

Analyze and develop concrete customer use cases for leveraging data- and AI-based IT solutions
Create practically implementable solution concepts — technical, functional, and architectural
Develop PoC, MVP, and production-ready applications on cloud and on-premise stacks
Apply modern LLM technologies: embeddings, re-ranking, prompting, fine-tuning, retrieval concepts and other methods where they increase customer value
Work closely with our architects, consultants and clients to integrate solutions into existing system landscapes
Contribute to the further development of our product lines (QI-Box, QI-Flow) and our standardized implementation process

Requirements

What you’ll need

At least 5 years of professional experience in AI, Data Science, Machine Learning or Data Engineering
Very good knowledge of Python and common ML/DL frameworks (PyTorch, TensorFlow, scikit-learn)
Solid experience with LLMs, RAG systems, embeddings and evaluation methods
Confident handling of relational databases, SQL and vector databases
Experience building robust data pipelines and basic knowledge of MLOps
Experience working with structured data (e.g., time series) and unstructured data (texts, PDFs, documents)
Experience with cloud or on-premise environments (AWS, Azure, GCP)
Understanding of containerized deployments, API design and integrations
Structured and independent working style
Precise communication, team spirit and enjoyment of interdisciplinary collaboration
Ability to explain complex technical topics to customers in an understandable way

Benefits

Comp & perks

Challenging projects and significant ownership of your work
Openness to change and a shared commitment to continuous improvement
Excellent technical equipment with up-to-date hardware and freedom to choose your operating system
Flexibility through family-friendly working hours within a trust-based working time model
Employee benefits such as bike leasing (JobRad), gym membership, company pension plan, and more

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonMachine LearningDeep LearningPyTorchTensorFlowscikit-learnLLMsSQLMLOpsdata pipelines

Soft Skills

structured working styleindependent working styleprecise communicationteam spiritinterdisciplinary collaborationexplanation of technical topics