We are looking for a Senior AI Engineer (d/f/m) to design, build, and operate production-grade AI solutions, with a focus on Generative AI and LLM-based systems.

In this role, you will work across AI engineering, cloud architecture, and software development, building scalable AI services and integrating them into enterprise applications. You will collaborate closely with product teams, engineers, and business stakeholders to translate real-world problems into effective AI solutions.

AI & Machine Learning Engineering:

• Design, develop, and optimize Generative AI and machine learning solutions, including model evaluation, prompt engineering, and NLP-based applications.
• Plan and conduct AI experiments and benchmarking, analyze results, and select appropriate models and architectures for production environments.

Software Development & Integration

• Develop AI-powered services primarily using Python, with supporting services built in TypeScript/JavaScript.
• Build user-facing components using modern frontend frameworks such as React, and integrate AI functionality into existing enterprise systems.
• Package and deploy applications using Docker-based containerization.

Cloud & Infrastructure

• Design, deploy, and operate AI solutions on AWS and Microsoft Azure.
• Implement Infrastructure as Code using tools such as Terraform, AWS CDK, or Bicep, and maintain CI/CD pipelines with Git and GitLab.
• Ensure systems meet requirements for security, authentication, and scalability.

Data & MLOps

• Prepare and manage datasets for AI workloads, including data curation, preprocessing, and pipeline development.
• Deploy and operate ML and LLM models in production, implementing monitoring, logging, and observability to ensure reliability and performance.

Collaboration & AI Strategy

• Work with stakeholders to identify high-value AI use cases and translate business requirements into technical solutions.
• Contribute to responsible AI practices, governance frameworks, and internal AI strategy initiatives.

Experience

• 5+ years of professional experience in AI, Machine Learning, or Software Engineering.
• Proven experience developing and deploying production AI or ML systems.

Technical Skills

• AI & Machine Learning: Experience with Generative AI, LLM systems, NLP techniques, prompt engineering, and model evaluation, using frameworks such as TensorFlow, PyTorch, or LangChain.
• Programming: Strong development experience with Python, along with TypeScript or JavaScript for backend or frontend services.
• Cloud & DevOps: Hands-on experience with AWS and Microsoft Azure, containerization using Docker, version control with Git/GitLab, and Infrastructure as Code using tools like Terraform, AWS CDK, or Bicep.
• Data & Databases: Experience working with data preparation, data pipelines, and databases, including PostgreSQL and DynamoDB.

Soft Skills

• Strong analytical and problem-solving skills, with the ability to translate business needs into technical solutions.
• Excellent collaboration and communication abilities in cross-functional environments.
• Curiosity for emerging technologies and AI advancements, combined with a proactive and innovative mindset.

Languages

• German – Conversational proficiency
• English – Professional proficiency

At Haufe Group, we create pioneering working conditions in which each of us can optimally contribute and develop. You’ll be given space and responsibility, you can work hybrid with flexible working hours and you have a wide range of training and development opportunities. We’re tangible and real, and officially a Great Place to Work.

JobID: REF207K

Shaping change. Working at Haufe Group.
Our working world is diverse, complex and in continuous flux. At Haufe Group we actively shape this transformation. With content, software and training, we empower people to work successfully in a self-determined way. As a family business with around 2,700 employees and twelve locations in Germany and Europe, we support more than 1 million customers in their sustainable development and in shaping transformation processes.

We embrace and value diversity and we are convinced that employees with diverse backgrounds bring different perspectives and strengths to our company. We therefore encourage applications - regardless of gender, nationality, ethnic and social background, religion/belief, disability, age, sexual orientation and identity. As a signatory of the Charta der Vielfalt, we are firmly committed to diversity, tolerance, fairness and appreciation.