Senior AI Engineer (m/f/d)
We believe that unique perspectives fuel innovation. At Artefact, we are committed to creating an inclusive environment where everyone can thrive. We welcome and consider all applications purely based on merit, skills, and potential - regardless of gender identity, sexual orientation, race, ethnicity, religion, age, background, or disability.
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.
Innovate.
Let’s shape the future of AI - together! Don't worry if you don't meet all the criteria! At Artefact, we value motivation, pragmatic problem-solving, and potential above all else. If you are excited about shaping the future of AI and ready to make a real impact, we'd love to hear from you.