AI Engineer

• Design, build, and deploy systems into scalable production environments on cloud providers such as AWS, GCP, or Azure.
• Collaborate with data scientists, engineers, and client teams to translate business challenges into AI-driven solutions.
• Develop robust APIs and services around AI models using frameworks such as Flask, FastAPI, or Spring Boot.
• Integrate generative AI solutions (e.g., LLMs, vector databases, orchestration frameworks) into enterprise applications.
• Set up MLOps pipelines and CI/CD workflows to automate training, testing, and deployment of AI models.
• Ensure software quality through test automation, monitoring, and logging practices.
• Daily communication with the project team and clients to identify, design, and deliver appropriate solutions.

What we offer you:

• Work on innovative AI and Software Engineering projects across industries (Banking, Insurance, Automotive, Retail, etc.).
• Expand your skills in areas such as MLOps, cloud architecture, data engineering, and generative AI.
• Collaborate with top technology partners in the cloud, AI, and automation ecosystem.
• Access to training, certifications, and interdisciplinary projects.
• Join a vibrant community with hackathons, conferences, and knowledge-sharing events.
• Award-winning office space in downtown Munich with great transport connections.
• Flexible working model between client site, Reply office, and remote work.
• Deutschlandticket for public transport and a gym subsidy.

We are looking for a skilled and motivated AI Engineer to join our team. The ideal candidate combines expertise in software engineering with a strong interest in cloud-based AI solutions. You will support our clients by designing and implementing intelligent applications, leveraging both classical machine learning and state-of-the-art generative AI. We are seeking someone who understands software development best practices, is comfortable working in cloud environments, and shares our passion for Data and AI., * Completed university studies with a strong quantitative or technical background (e.g., Computer Science, Data Science, Engineering, or similar).

• Ideally, you have already gained some initial consulting and project management experience Teamwork & Collaboration ability to work effectively with others toward common objectives.
• Adaptability flexibility in taking on different roles within a team and understanding the needs of the customer
• Solid programming experience in at least two programming languages, such as Python, Java, Rust, or JavaScript.
• Practical experience deploying ML/AI models into production environments (on-premises or cloud).
• Experience with different database technologies, including SQL and NoSQL, with knowledge of database design, data modeling, and data management.
• Experience with large language models (LLMs), prompt engineering, fine-tuning, and integrating generative AI into actual solutions.
• Strong communication skills for explaining technical concepts to both technical and business stakeholders.
• Fluent in English and at least C1-level German. This requirement is mandatory.

Desired Qualifications:

• Hands-on experience with cloud AI services.
• Understanding of MLOps concepts (model registry, monitoring, CI/CD).
• Knowledge of modern AI/ML frameworks and tools such as PyTorch, TensorFlow, Hugging Face, LangChain, or OpenAI APIs.
• Awareness of software engineering principles (SOLID, testing, version control).
• Familiarity with containerization and orchestration (Docker, Kubernetes).
• Cloud certifications are a plus.
• Teamwork & Collaboration ability to work effectively with others toward common objectives.