AI Engineer

atMD-IT GmbHRemoteDE flagGermanyFull-timeAI EngineerMid-levelSenior

Posted Oct 31

This is a fully remote position, open to applicants in Germany.

📋 Description

• Conceptualize and develop AI-driven features from the ground up—ranging from the initial idea to the implementation of production-ready solutions in internal workflows.

• Collaborate with LLMs and retrieval systems (RAG), seamlessly incorporating them into existing tools and processes.

• Create backend services, utilizing languages such as Python, Node.js, or Java, to consistently provide AI capabilities.

• Assess internal workflows, pinpoint automation possibilities, and independently implement effective solutions.

• Design assistant and automation features tailored for Engineering, Product Management, QA, and Operations teams.

• Construct prototypes for prospective AI functionalities within software solutions, including document processing and process assistance.

• Ensure thorough documentation of all AI features, maintaining testability and compliance with GDPR standards.

• Employ contemporary tools such as GitLab, Docker, CI/CD, and infrastructure as code.


⛳️ Requirements

• Completed vocational training or a degree in IT, Data Science, Software Engineering, or a comparable qualification.

• Exceptional programming skills in at least one language, preferably Python; alternatively Java or TypeScript/Node.js.

• Strong knowledge of AI technologies (MCPs, LLMs, RAG, vector databases) or a keen interest in advancing in these fields.

• Solid understanding of software development practices, including APIs, automated testing, and CI/CD processes.

• Familiarity with cloud computing platforms, such as Azure, AWS, or similar services.

• Awareness of data protection regulations and the secure, responsible utilization of AI, particularly in highly regulated industries.

• A strong dedication to quality, initiative, and collaborative teamwork.

• Proficient in both German and English (B2 level).

• Experience with Azure OpenAI or similar models is advantageous.

• Background in process analysis or workflow automation is a plus.

• Basic understanding of the healthcare sector is a plus.

• Experience in managing stakeholders across various organizational levels is a plus.


🏝️ Benefits

• Flexible working hours and the option to work remotely.

• Support for achieving a balance between family and career.

• An environment built on trust, appreciation, and personal accountability.

• Opportunity to work in a socially impactful setting.

• Play a role in the digital transformation of the healthcare industry.

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