Senior AI Engineer (m/f/d)

• You’ll help identify business needs, explore data and AI use cases, and drive projects from idea to production - whether it’s a proof-of-concept or a scalable solution. Build.
• You’ll own your work end-to-end - from concept and architecture to implementation, optimization, and delivery. You design smart, robust solutions using data or LLMs and other AI technologies. Train.
• You’ll stay ahead of the curve - experimenting with new models, prompt engineering, fine-tuning, and tools. You’ll also share your knowledge within the team and benefit from our partners’ training offers (Google, AWS, etc.). Collaborate.
• You’ll work closely with clients, product owners, and non-technical stakeholders, balancing technical excellence with practical business impact. Gain broad experience:
• Work on 1-3 projects per year across different industries and use cases - from customer service automation to knowledge management and internal tools.
• Build real-world data and AI applications using modern tools like LangChain, PydanticAI, MCP servers, RAG pipelines, vector databases (e.g. FAISS, Weaviate), LlamaIndex, Vertex AI, OpenAI APIs, and Hugging Face models.
• Shape the way clients use data and AI, driving innovation and best practices in production environments.

Your mindset:

• Curious & forward-thinking. You are passionate about solving complex problems using cutting-edge AI and data technologies.
• Hands-on. You have experience with LLMs (e.g. OpenAI, Claude, Gemini, LLaMA), prompt engineering, API integration, and ML frameworks.
• Holistic. You understand the full ML lifecycle, including data preparation, model deployment, evaluation, and monitoring.
• Communicative. You can break down technical concepts for diverse audiences in English and ideally in German as well.
• Supportive. You coach junior team members, provide constructive feedback, and actively contribute to our culture of learning. Profile:
• Degree in computer science, AI, data science or similar field.
• Experience: 3+ years of experience in machine learning or AI engineering, with hands-on AI projects in production.
• Proficiency in Python and cloud-based AI services (GCP, AWS, or Azure).
• Solid understanding of data analysis/engineering and AI-specific components like RAG, prompt design, fine-tuning, embeddings, and model evaluation.
• Familiar with DevOps and ML-Ops best practices (Docker, Kubernetes, CI/CD).
• Strong problem-solving skills, a sense of ownership, and a structured approach to work.
• Languages: Business-fluent German and English (both written and spoken) are mandatory to participate in client workshops and deliver polished presentations.
• Work Eligibility: A valid work permit for Germany.

Why ARTEFACT?

• Challenging projects with national and international clients across industries (e.g. L’Oréal, Samsung, Allianz, Sanofi).
• Diverse career paths, promotions based on your performance - not tenure.
• Strong team culture and real collaboration across disciplines.
• Personal development through workshops, certifications, coaching, and access to partner programs (Google, AWS, etc.).
• Attractive benefits: hybrid work, flexible hours, 1 additional day off for your birthday, Christmas & New Year's Eve off, mental health support, 4 weeks of workation, corporate benefits, office brunch, team events, and more.