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Your responsibilities

Within Wavestone's "AI, Data & Software Solutions" Service Offering, data scientists, architects and engineers bring AI solutions into production for organisations in regulated industries such as energy, automotive, banking, insurance and the public sector. As an AI Engineer, you will build agentic AI systems that perform real work: understanding documents, supporting decision-making and executing actions in enterprise systems—reliably, measurably and on the platform best suited to the client.

  • You develop production-ready GenAI and agentic AI solutions: agents that plan tasks, use tools, and prepare or execute actions in enterprise systems.
  • You build RAG pipelines and extraction logic that reliably structure and validate information from unstructured sources such as documents, emails and forms and you connect data as well as streaming platforms (e.g. Databricks, Snowflake, Microsoft Fabric and Kafka) to provide data for AI applications.
  • You develop robust backends and APIs and integrate AI components into existing system landscapes through REST, events or MCP.
  • You make the quality of AI outputs measurable using automated evaluations, guardrails, tracing and human-in-the-loop workflows and ensure software quality through testing, code reviews, logging and monitoring. You use AI-assisted development tools effectively in your day-to-day work.
  • You automate infrastructure and deployments with Infrastructure as Code and CI/CD - on AWS, Azure, Google Cloud, or sovereign and on-premises platforms.
  • You work closely with architects, business stakeholders and client teams, document designs and interfaces clearly, and share your knowledge within the team.

Your Profile

  • You have a degree in computer science, business informatics, data science, mathematics, engineering or a comparable field - or an equivalent qualification gained through professional experience.
  • You have at least 5 years of professional experience in software development, including minimum 1-2 years of hands-on experience with LLM-based applications beyond the prototype stage.
  • Excellent Python skills needed and proficiency in at least one additional enterprise technology language (Java, C# or .NET), as well as experience developing APIs and interfaces.
  • Hands-on experience with agentic AI frameworks (e.g. LangGraph, LlamaIndex, Pydantic AI or model-provider agent SDKs), RAG, vector databases and MCP.
  • Practical experience required with at least one cloud platform - AWS, Microsoft Azure or Google Cloud-as well as containers and Infrastructure as Code (e.g. Terraform).
  • Experience with CI/CD (e.g. GitLab CI, GitHub Actions or Azure DevOps), test automation, error handling and systematic root-cause analysis, and a strong commitment to quality: you want to know whether your system is producing the right results - and you measure this rather than assume it.
  • You are business-fluent in German (at least C1) and have very good English skills.

What else sets you apart

  • Experience with open-weight models and their operation (e.g. vLLM or Ollama), fine-tuning, or sovereign cloud environments.
  • Experience with document and information extraction (OCR, layout analysis and multimodal models).
  • Experience in regulated industries such as banking, insurance, energy or the public sector.
  • Cloud or AI certifications.

Your Benefits

  • Career model: For us, a career that is individually tailored to your needs means individual development opportunities in line with your vision and at your pace. Our PERSONAL GROWTH MODEL supports you in this, whether as an expert or entrepreneur.
  • Continuing education: Let's grow together! Stay up to date with over 200 training days per year in our Academy, or continue your education through certification courses.
  • German classes: We encourage you to learn a new language, as it will be useful for you in your career development.
  • Leadership culture: Respect, appreciation, and the highest level of expertise are the key elements of our "Coaching & Leading" leadership model. This means that your individual goals and Wavestone corporate goals are perfectly aligned.
  • Mobile Work: Flexible, mobile working is part of our DNA. With our Mobile Work Policy, we offer you the right framework to work remotely. Plus, via our offices, we offer attractive contact points for personal exchange.
  • Me-Time: We provide tailored vacation days, that will be increased every year (max. 30 days) based on your seniority within the company, as well as flexible working hours. Because life next to Wavestone also counts for us.
  • Private Health Insurance: You are important to us; such is your health. We provide you with the appropriate framework that covers the essential health benefits needed to maintain your health.
  • Multi-benefits Platform: As flexibility is in our DNA, it also translates into our benefits. You have the option to decide how to spend funds allocated for monthly benefits depending on your needs (meal tickets, gift vouchers, cultural vouchers, holiday vouchers and even subscriptions to sports clubs).
  • Mindfulness & Health: The Mindfulness Community offers mindfulness training and regular exchange.
  • Events: Numerous events for networking and celebrating are simply part of our Wavestone life.

Contact person

Diana MURA