AI Engineer (m/f/d)

About the Position

At AltaSigma, we are building something beyond the ordinary: an Enterprise AI Platform designed to turn advanced technology into real, production-ready business value. Join us at the earliest possible date as an AI Engineer (m/f/d) in Ulm or Stuttgart.

About AltaSigma

We develop an Enterprise AI platform in Ulm that enables organizations to put AI to work quickly, securely, and with measurable business value. 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.

Responsibilities

• 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.
• Connect agents to the data and systems they need. Develop your own MCP servers that access indexed knowledge bases or interact directly with source systems through SQL or APIs. Where appropriate, build knowledge graphs or implement other suitable indexing methods.
• Build the data foundation for intelligent applications: integrating diverse data sources, developing and optimizing data pipelines, and modeling data for analytics and AI applications. Account for data quality, data management, and a scalable data architecture.
• Select and evaluate models for each specific use case-using systematic benchmarking rather than gut feeling.
• Develop solutions for real customer applications, not to sit on a shelf. Actively use AI in your own day-to-day work, from AI-assisted coding to building your own agents.
• Analyze business requirements and translate them into technically robust solutions with clear business value, working closely with our customers.
• Actively contribute your ideas to the ongoing development of our AI platform and help shape its future capabilities and performance.

Requirements

• 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. 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. 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. 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.

Nice to Have

• Experience in production-grade systems and real customer proximity.
• Ability to work in a team, actively exchange ideas, and develop solutions together while helping shape how the team collaborates.
• Fluency in German and very good English communication skills.

We Offer

• 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.

About the Company

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.

Sound like you?

Please also include your salary expectations and your earliest possible start date in your application.

[email protected]