Senior AI Engineer (m/f/d)

Posted Yesterday
Be an Early Applicant
3 Locations
In-Office
Senior level
Artificial Intelligence • Consulting
The Role
Lead end-to-end development of production-ready AI and LLM solutions: identify use cases, design architectures, implement and deploy models (RAG, embeddings, fine-tuning), experiment with new models and tools, collaborate with clients and stakeholders, and mentor junior team members.
Summary Generated by Built In

Artefact, a global AI and data consulting company with rapid growth, is looking for a creative and tech-savvy Senior AI Engineer (m/f/d) to join the tech team full-time. Ideally, you are located in Munich or Berlin 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?

Our data & 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.


Your responsibilities:

Innovate.
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.

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.

Artefact is a global consulting company specializing in data and AI services, headquartered in Paris. With 2,000+ consultants, data scientists, and engineers across 26 countries, we work with global market leaders. At our German offices, we are on a rapid growth trajectory, advising leading national and international clients cross-industry on how to unlock the full potential of their data, build scalable data architectures, and implement cutting-edge AI solutions. Artefact is dedicated to leveraging data and AI to enhance organizations and their people.

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. Come as you are!

Curious to learn more? Reach out to us at: [email protected].

Skills Required

  • Degree in computer science, AI, data science or similar field
  • 3+ years of experience in machine learning or AI engineering with hands-on production projects
  • Proficiency in Python
  • Experience with cloud-based AI services (GCP, AWS, or Azure)
  • Solid understanding of data analysis/engineering and AI components (RAG, prompt design, fine-tuning, embeddings, model evaluation)
  • Experience with LLMs (OpenAI, Claude, Gemini, LLaMA), prompt engineering, and API integration
  • Familiarity with DevOps and MLOps best practices (Docker, Kubernetes, CI/CD)
  • Business-fluent German and English (written and spoken)
  • Valid work permit for Germany

Artefact (artefact.com) Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Artefact (artefact.com) and has not been reviewed or approved by Artefact (artefact.com).

  • Leave & Time Off Breadth Time‑off structures such as RTT days in France and extra holidays in Germany are highlighted, indicating generous leave in several European offices.
  • Healthcare Strength France’s supplemental health insurance (mutuelle) is described as solid, while Germany references mental‑health initiatives and company pension options that strengthen core coverage.
  • Wellbeing & Lifestyle Benefits Meal vouchers, transport reimbursement, CSE discounts, fitness perks such as ClassPass‑style programs, and a Paris gym are cited alongside flexible or hybrid work in some regions.

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The Company
HQ: Paris
1,637 Employees
Year Founded: 2014

What We Do

Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations. We specialize in data transformation and data marketing to drive tangible business results across the entire enterprise value chain. Our 1500 employees operate in 23 countries (Europe, Americas, Asia, Middle East Africa) and we partner with 1000 clients, including 300 major brands like Samsung, L’Oréal, Orange and Sanofi. We provide customized services from strategy to operations: data strategy, data quality and governance, data platforms, AI factories, demand forecasting, data marketing & sales, AI for call centers, Data & AI School, specialized by industry sectors with dedicated consultancy and technology support

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