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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
The ideal candidate must demonstrate strong technical expertise in AI engineering while effectively collaborating with cross-functional teams to deliver innovative solutions and provide client-focused consulting. A commitment to continuous learning and knowledge sharing is essential.
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI EngineeringPythonPydanticLangChainMCPOpenAIAzure AI FoundryAWS BedrockCode OptimizationError Detection
Soft Skills
Team PlayerOpen CommunicationKnowledge SharingConsulting SkillsAdaptability
Certifications & Qualifications
Bachelor’s DegreeMaster’s DegreeVocational Qualification
Industry Keywords
GenAI SystemsClient ProjectsUse-Case IdentificationArchitectural DecisionsAI LifecycleAgent-Based Solutions
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.
