AI Engineer (m/f/d)

We develop an Enterprise AI platform in Ulm that enables organizations to put AI to work quickly, securely and with measurable business value — built around data sovereignty and 100% "Made in Germany." Our platform combines modern AI technologies with a production-ready architecture, providing the foundation for scalable AI solutions in real business environments. We deliberately draw on a broad range of methods: from traditional machine learning and deep learning to time-series models, LLMs, RAG and agentic AI.

At AltaSigma, your work goes beyond concepts. You work on real use cases, real data and real customer requirements. You develop solutions that are actually implemented and used — with a clear focus on practical application, technical quality and visible impact.

• You will develop LLM and agent systems for production use: from RAG pipelines, tool integration and orchestration to integration with our AI platform. You see robustness, evaluation and operations as integral parts of the solution.
• You will connect agents to the data and systems they need. You will develop your own MCP servers that access indexed knowledge bases or interact directly with source systems through SQL or APIs. Where appropriate, you will build knowledge graphs or implement other suitable indexing methods.
• You will build the data foundation for intelligent applications: integrating diverse data sources, developing and optimizing data pipelines, and modeling data for analytics and AI applications. You will account for data quality, data management and a scalable data architecture.
• You will select and evaluate models for each specific use case — using systematic benchmarking rather than gut feeling.
• You will develop solutions for real customer applications, not to sit on a shelf. You will actively use AI in your own day-to-day work, from AI-assisted coding to building your own agents.
• You will analyze business requirements and translate them into technically robust solutions with clear business value, working closely with our customers.
• You will actively contribute your ideas to the ongoing development of our AI platform and help shape its future capabilities and performance.

• A degree in computer science, mathematics, physics or a comparable field.
• Practical experience as a Data Scientist or ML Engineer — you have brought LLM systems into production and understand what matters in real-world deployment.
• Confident, hands-on Python skills — from quickly exploring data to developing production-ready components. You are familiar with PySpark and modern lakehouse formats such as Delta or Iceberg.
• Experience with the LLM stack: RAG pipelines, LLM frameworks, vector databases and indexing methods. You know how to give agents access to tools and data — ideally, you have already developed your own MCP servers.
• A solid understanding of machine learning and current developments around LLMs and agent systems. You know when to use which approach — and where its limitations are.
• Experience with containers, Kubernetes and CI/CD, as well as cloud experience with AWS, Azure or GCP, is a plus. AltaSigma itself is cloud-agnostic.

• You want to do more than build prototypes. You want to build systems that hold up in production. You think from the concrete use case and business value, always keeping the application context in mind.
• You take ownership of your topics — from the first concept to production deployment. You approach complex challenges in a structured way and find pragmatic, workable solutions.
• You are deeply interested in technology and motivated to continuously grow your knowledge and skills.
• You learn quickly and can familiarize yourself with different problem areas in a short time.
• You enjoy working in a team, actively exchange ideas and like developing solutions together while helping shape how the team collaborates.
• You communicate clearly and can explain complex topics in an understandable way, fluently in German and very well in English.

We believe in creating a strong setup for people who want to do great work — technically, personally and organizationally.

• Strong tech setup: You choose the tools you need. Hardware, operating system, IDE, tools and access to coding agents — we equip you individually so you can work at your best.
• AI and platform with impact: You work with and for customers on solutions that are used in real business environments. Internally, you can expect short decision paths, direct communication and a high level of responsibility in your daily work.
• Learning and development: Learning and knowledge sharing are a fixed part of our everyday work. In addition, you can attend trainings and specialist conferences or contribute to our own academy.
• Collaboration and working style: Our modern, centrally located offices enable direct exchange and fast coordination. We strongly value working together on-site because many topics benefit from close collaboration. At the same time, we work flexibly and coordinate within the team in a way that supports our projects and collaboration.
• Compensation: An attractive salary with a bonus agreement — a total package that fits your experience.

We offer an environment where modern AI technology, real customer proximity, production-grade systems and responsibility come together. You work on a standardized platform rather than isolated one-off solutions, stay close to real applications and see what your work creates.

At the same time, you get a setup that is not only technically ambitious, but also reliable. We are growing in a market with strong demand, work with well-known companies and offer stability, perspective and the opportunity to truly build something.

If you are looking for an environment where you can go deep technically, create visible impact and actively shape what we are building, we should talk.