Senior AI Engineer (m/f/d)

You design and deliver end-to-end AI and agentic systems based on Large Language Models, RAG architectures, and cloud platforms. Working closely with business and technical stakeholders, you translate real-world use cases into scalable AI solutions that are embedded into business processes.
Your focus is on building production-ready AI agents, not just prototypes – combining fast experimentation with solid engineering, architecture thinking, and measurable impact.

• Community & team culture: Experience events with us that connect and are fun – from relaxed get-togethers to structured team-building sessions. We believe that strong teams grow through shared moments.
• Flexible working & balance: Work where and how it suits you: At home, in the office, or on the road at a workation. Our flexible working hours provide you with maximum flexibility while ensuring there's always some overlap with the project's core working hours.
• Health & well-being: At x1F, your well-being truly matters. Across our Nearshore locations, we offer a variety of benefits designed to support you – both personally and professionally.
  Curious about what’s available in your country? Reach out to our recruiter anytime – we’re happy to guide you!

• Professional development: We offer all employees access to LinkedIn Learning, enabling you to learn flexibly and continuously. In addition, targeted development programs support your career growth.

• AI & Agentic Systems: Strong hands-on experience with AI/ML systems, especially Large Language Models, NLP, and agent-based architectures, including real-world implementation of AI-driven solutions and business process integration.
• LLMs & Advanced AI Methods: Deep understanding of LLM capabilities and limitations, including prompt engineering, fine-tuning, self-hosted models, and explainable AI approaches.
• RAG & Data Architectures: Experience in building Retrieval-Augmented Generation systems and integrating structured and unstructured data into scalable, knowledge-driven architectures.
• Cloud & Platform Engineering: Strong experience designing AI solutions on cloud platforms, especially Microsoft Azure, including AI/ML services, data architectures, and production-grade system design.
• Engineering & DevOps: Experience with CI/CD pipelines and automation tools such as Jenkins or Bitbucket, combined with strong programming skills in Python and/or Java. Experience with SAP is huge advantage.
• Mindset, Communication & Languages: Senior-level, structured and self-driven working style with a pragmatic, prototype-first approach and strong ownership. Ability to explain complex AI concepts clearly to technical and non-technical stakeholders. English is required, German is a strong advantage with supported learning opportunities.