AI Engineer (m/w/d)

Job description 

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. 

Responsibilities: 

• 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. 

Minimum Qualifications: 

• 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 understand the need of the costumer 

• 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 B2-level German. 

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. 

• Adaptability – flexibility in taking on different roles within a team and understand the need of the costumer 

What are you waiting for? 

Join our team at Machine Learning Reply as a Consultant for AI Engineering in Munich or Berlin!