Senior AI Engineer (m/f/d)
Artefactlinkedin · Berlin, Berlin, Germany; Hamburg, Hamburg, Germany; München, Bavaria, Germany · 2026-07-16
Über diese Stelle
<p><strong>Artefact</strong>, a global AI and data consulting company with rapid growth, is looking for a creative and tech-savvy <strong>Senior AI Engineer (m/f/d)</strong> to join the tech team full-time. Ideally, you are <strong>located in Hamburg, Munich, Berlin</strong> or nearby - but if you're based elsewhere in Germany and a great fit, we would still love to hear from you. Could this be you?</p> <p>Our data &amp; AI experts develop production-ready, scalable solutions that bring real business value to our clients. You’ll work in interdisciplinary teams of data scientists, engineers, analysts and consultants to shape the future of data- and AI-driven products.</p> <p>&nbsp;</p> <p><strong>Your responsibilities:</strong></p> <p><strong>Innovate.</strong><strong><br></strong>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.</p> <p><strong>Build.</strong><strong><br></strong>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.</p> <p><strong>Train.</strong><strong><br></strong>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.).</p> <p><strong>Collaborate.</strong><strong><br></strong>You’ll work closely with clients, product owners, and non-technical stakeholders, balancing technical excellence with practical business impact.</p> <p><strong>Gain broad experience:</strong></p> <ul> <li>Work on 1-3 projects per year across different industries and use cases - from customer service automation to knowledge management and internal tools.</li> <li>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.</li> <li>Shape the way clients use data and AI, driving innovation and best practices in production environments.</li> </ul> <p>&nbsp;</p> <p><strong>Your mindset:</strong></p> <ul> <li><strong>Curious &amp; forward-thinking.</strong> You are passionate about solving complex problems using cutting-edge AI and data technologies.</li> <li><strong>Hands-on.</strong> You have experience with LLMs (e.g. OpenAI, Claude, Gemini, LLaMA), prompt engineering, API integration, and ML frameworks.</li> <li><strong>Holistic.</strong> You understand the full ML lifecycle, including data preparation, model deployment, evaluation, and monitoring.</li> <li><strong>Communicative.</strong> You can break down technical concepts for diverse audiences in English and ideally in German as well.</li> <li><strong>Supportive.</strong> You coach junior team members, provide constructive feedback, and actively contribute to our culture of learning.</li> </ul> <p>&nbsp;</p> <p>&nbsp;</p> <p><strong>Profile:</strong></p> <ul> <li><strong>Degree</strong> in computer science, AI, data science or similar field.</li> <li><strong>Experience: </strong>3+ years of experience in machine learning or AI engineering, with hands-on AI projects in production.</li> <li>Proficiency in Python and cloud-based AI services (GCP, AWS, or Azure).</li> <li>Solid understanding of data analysis/engineering and AI-specific components like RAG, prompt design, fine-tuning, embeddings, and model evaluation.</li> <li>Familiar with DevOps and ML-Ops best practices (Docker, Kubernetes, CI/CD).</li> <li>Strong problem-solving skills, a sense of ownership, and a structured approach to work.</li> <li><strong>Languages</strong>: Business-fluent German and English (both written and spoken) are mandatory to participate in client workshops and deliver polished presentations.</li> <li><strong>Work Eligibility</strong>: A valid work permit for Germany.</li> </ul> <p>&nbsp;</p> <p><strong>Why ARTEFACT?</strong></p> <ul> <li><strong>Challenging projects</strong> with national and international clients across industries (e.g. L’Oréal, Samsung, Allianz, Sanofi).</li> <li><strong>Diverse career paths</strong>, promotions based on your performance - not tenure.</li> <li><strong>Strong team culture</strong> and real collaboration across disciplines.</li> <li><strong>Personal development</strong> through workshops, certifications, coaching, and access to partner programs (Google, AWS, etc.).</li> <li><strong>Attractive benefits</strong>: hybrid work, flexible hours, 1 additional day off for your birthday, Christmas &amp; New Year's Eve off, mental health support, 4 weeks of workation, corporate benefits, office brunch, team events, and more.</li> </ul> <p>&nbsp;</p> <p><strong>Let’s shape the future of AI - together!</strong></p> <p><em><strong>Don't worry if you don't meet all the criteria!</strong> At Artefact, we…
Gefragte Kenntnisse
- aws
- data science
- machine learning
- python
- gcp
- azure
- devops
- docker
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