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Generative AI Engineer focusing on agent systems and robust backend development. Utilize Python, FastAPI, and Google Cloud for advanced AI applications and services.
About the role
- Principal Generative AI Engineer responsible for AI strategies and implementation at Alexander Thamm GmbH. Engaging in cloud solutions, data platforms, and high-quality standards in AI projects.
Responsibilities
- Responsible for designing, building and continuously advancing prototypes, use cases and technical concepts around generative AI, modern data platforms and cloud solutions
- Provide end-to-end consulting to our clients in shaping future-proof Data & AI strategies
- Design, implement and evolve scalable data architectures and cloud-based data warehouse solutions (e.g., on Azure or AWS)
- Ensure high quality standards in projects
- Technical leadership or active participation in projects focusing on AI architectures, end-to-end workflows and the operation of foundation models (on-premises or in the cloud)
- Develop and deliver internal training formats and actively transfer knowledge to strengthen our expertise in generative AI and modern data platforms
- Continuously explore, test and evaluate new tools, APIs and frameworks
- Represent the company in the professional community by attending conferences, meetups and events as well as delivering talks, demos or technical publications
- Provide technical support to Sales and Marketing
- Actively contribute to the further development of our Switzerland location
Requirements
- University degree in Computer Science, Data Science, Mathematics or a comparable technical/scientific discipline
- Several years of professional experience (at least 5 years) implementing data, analytics or AI solutions
- Excellent communication skills in German, Swiss German and English
- Proven practical experience with generative AI approaches and a solid understanding of foundation models (e.g., GPT, LLaMA, Claude), including fine-tuning strategies
- Strong Python skills (object-oriented), ideally complemented by experience with Spark and relevant open-source frameworks (e.g., Hugging Face, LangChain)
- Experience working with AI and LLM APIs (e.g., OpenAI, Aleph Alpha, Hugging Face) as well as basic knowledge of NLP, probabilistic models, conversational AI and diffusion techniques
- Deep understanding of modern cloud infrastructures (Azure or AWS) and proficiency in deployment, CI/CD and MLOps processes
- Advantageous: Experience operating open-source models on-premises, on specialized accelerators or in the context of physical computing
- Strong communication skills and enjoyment of collaborating with clients, teams and the tech community
- Self-driven, solution-oriented working style, willingness to take responsibility and to travel for projects as required
Benefits
- Work–life balance
- Trust-based working hours with flexible scheduling, hybrid work model, workation – take the option to work from EU countries
- Unique team atmosphere, flat hierarchies
- Open feedback culture
- Annual team workshops at our Data.Castle in the Zillertal
- Practiced Data.Musketeer principle
- Buddy program for better networking
- Regular professional and social events
- Intensive onboarding and induction process
- Personal development plan and individual training opportunities
- Wide range of workshops and training within the Data.Academy
- Numerous corporate benefits & employee offers
- Starter credit in our internal merchandise shop
- Competitive salary with variable components
- Mental health & wellbeing support as well as coaching and meditation through nilo.health
- Regular employee surveys
Job title
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