AI ENGINEER
Role details
Job location
Tech stack
Job description
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AI Development & Implementation
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Develop and implement AI solutions based on LLMs, machine learning and generative AI
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Build and operate AI agents and automation workflows (e.g. Copilot Studio, LangChain, TensorFlow)
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Integrate AI models into existing systems (ERP, BIM, document management, M365)
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Develop RAG systems for internal knowledge bases
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Build prototypes for new use cases identified by business units
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Data & Modelling
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Process and prepare unstructured data (documents, plans, reports) for AI applications
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Carry out model training, fine-tuning and evaluation
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Ensure data quality and integrity within AI pipelines
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Collaborate closely with the Data Engineer / Data Architect on platform integration
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Governance & Quality
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Conduct standardised risk assessments for new AI deployments (data protection, bias, security)
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Adhere to Obermeyer Group's ethical AI guidelines (fairness, transparency, human-in-the-loop)
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Document models, architectures and decisions in line with internal AI governance standards
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Support the preparation of AI Innovation Requests for the AI Board
Requirements
- Degree in Computer Science, Mathematics, Data Science or comparable
- Several years of hands-on AI/ML development experience
- Strong proficiency in Python and AI/ML frameworks (e.g. PyTorch, LangChain, Hugging Face, TensorFlow)
- Experience with LLMs, prompt engineering and agentic AI
- Knowledge of cloud infrastructure (Azure preferred) and CI/CD practices
- Passion for AI and the drive to solve real-world problems
- Ability to explain technical concepts clearly to non-technical audiences in English and German
- Self-directed with a high appetite for learning
- Team player with an interest in interdisciplinary collaboration
Benefits & conditions
Room for Vision: You'll contribute your ideas and actively bring them to life in forward-looking projects using smart technical tools. We support your professional and personal development from the very start with an onboarding program, ongoing training and development, and one-on-one coaching. A mentor will support you during your onboarding. With a team-oriented work environment, we create a setting where you can fully develop your skills.