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Tech Stack
Tools & technologiesAWSAzurePython
About the role
Key responsibilities & impact- As an AI Engineer (m/f/d) you write notebooks and prompts and build production-grade GenAI systems.
- You work in cross-functional, agile teams on client projects and work with the full modern GenAI stack.
- Together with your team you advise our clients on use-case identification, architectural decisions, and the entire AI lifecycle.
- You analyze client requirements, design and implement agent-based solutions, and ensure thorough documentation.
- You leverage modern, automated approaches for code optimization, error detection, and innovative solutions.
Requirements
What you’ll need- With your relevant professional experience you take a hands-on AI engineering approach.
- Strong to native German language skills are MANDATORY.
- You hold a Bachelor’s or Master’s degree, or an equivalent vocational qualification, in Computer Science, Information Technology, Electrical Engineering, Physics, Mathematics, Artificial Intelligence, Data Science, or another natural or engineering science.
- You are a team player, value open communication, enjoy learning from others, and share your knowledge.
- You want to work on exciting client projects and have solid knowledge in several technologies: Python, pydantic, LangChain/LangGraph, MCP, OpenAI, Azure AI Foundry, AWS Bedrock.
- You are comfortable in a consulting role and can imagine providing technological and/or methodological training to our clients.
Benefits
Comp & perks- Remote or office — you decide how and where you work, provided it’s coordinated with your project and team.
- Default is remote; on-site days at client locations as required (typically every 2 weeks).
- OffProject Time — while most of your time is spent on client projects, approximately 20% of your working time is available for professional development, research, open-source contributions, conference talks, community engagement, or internal AI initiatives.
- You choose your entire hardware setup including OS — private use is permitted.
- Plus a dedicated AI tooling budget (Claude/ChatGPT/Cursor/Copilot Pro licenses, API credits for experiments).
- You’ll find an environment that genuinely values family-friendliness, trust, freedom, knowledge-sharing, co-determination, and a constructive error culture.
- In addition to flexible trust-based working hours, you receive 30 days of vacation, special leave, the option to purchase additional vacation days, and Christmas and New Year’s Eve are generally non-working days.
- You can also take a sabbatical.
ATS Keywords
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Hard Skills & Tools
AI EngineeringPythonPydanticLangChainMCPOpenAIAzure AI FoundryAWS BedrockCode OptimizationError Detection
Soft Skills
Team PlayerOpen CommunicationKnowledge SharingConsulting SkillsAdaptability
Certifications
Bachelor’s DegreeMaster’s DegreeVocational Qualification