AI Engineer (Germany)

Summary

Andersen is hiring an AI Engineer in Germany to design and integrate scalable AI systems, supporting a major digital-transformation program and enabling modern, reliable AI-driven services.

The customer is a large international technology provider delivering end-to-end digital solutions for enterprise-level organizations. The company focuses on IT consulting, cloud services, cybersecurity, and managed operations, supporting clients across various industries with complex digital-transformation needs. With decades of experience, the customer emphasizes innovation, reliability, and high security standards.

The project is part of a large European digital transformation initiative aimed at integrating advanced AI into mission-critical systems. The team focuses on building scalable AI solutions, modernizing legacy architectures, and ensuring reliable deployment to support next-generation public and private sector services.

Responsibilities

• Designing, developing and maintaining AI/ML components, including model pipelines, inference services and data processing modules.
• Building and integrating GenAI or LLM-based features into applications, ensuring scalability and reliability.
• Implementing and optimizing RAG pipelines, vector search workflows and embedding-based retrieval.
• Fine-tuning, evaluating and deploying AI models using modern frameworks and training techniques (e.g., LoRA/QLoRA).
• Developing APIs and integration points for serving AI models in production environments.
• Implementing monitoring, logging and performance optimization for AI inference workloads.
• Preparing and validating datasets, performing feature engineering and maintaining data quality for model training.
• Collaborating with architects, analysts and software engineers to translate business needs into technical AI solutions.
• Ensuring compliance with organizational standards, documentation practices and reproducibility requirements.
• Supporting CI/CD and MLOps workflows for deploying, testing and updating AI models.

Requirements

• Hands-on Python development for 7+ years.
• Strong experience with modern AI/ML frameworks (PyTorch, TensorFlow, JAX).
• Practical experience building and deploying LLM-based or GenAI applications.
• Experience with model fine-tuning (LoRA, QLoRA, PEFT) and embedding models.
• Knowledge of vector databases.
• Hands-on experience with RAG pipelines, retrieval systems and prompt engineering.
• Experience integrating AI models into production systems (REST, gRPC, FastAPI).
• Familiarity with model serving technologies.
• Experience with data processing and feature engineering (Pandas, NumPy, Spark optional).
• Good understanding of MLOps practices, CI/CD for ML, experiment tracking (MLflow, Weights & Biases).
• Experience with Docker and containerized deployment of AI services.
• Knowledge of cloud platforms for AI workloads (AWS/GCP/Azure).
• Understanding of basic NLP/ML concepts: tokenization, embeddings, transformers, evaluation metrics.
• Level of English – from Intermediate+ and above.
• Level of German – from Intermediate+ and above.

Reasons to join us

• Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc..
• The opportunity to change the project and/or develop expertise in an interesting business domain.
• Job conditions – you can work both fully remotely and from the office or can choose a hybrid variant.
• Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee.
• The opportunity to earn up to an additional 1,000 USD per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities.
• Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated.
• Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies).
• Certification compensation (AWS, PMP, etc).
• Referral program.
• English courses.
• Private health insurance and compensation for sports activities.

Join us!