AI Engineer for Innovative AI Solutions
Do you want to become a part of an experienced and highly motivated team? Do you want to have a meaningful impact by shaping the future of AI applications in real-world products? If so, then we have a fantastic opportunity for you.
We’re looking for a Mid-Level AI Engineer to join our dynamic team focused on integrating cutting-edge AI into our solutions.
You are a proactive, solution-oriented individual with a strong passion for AI and technology. You thrive in a collaborative environment and are eager to contribute to the entire lifecycle of AI-powered applications. If you are ready to apply your expertise in a practical setting and are excited about continuous learning, you are the perfect candidate for our team.

What you will be tasked to do:

• Develop and implement AI solutions into our software products, focusing on real-world applications.
• Utilize Python, PyTorch, and microservices architecture to build robust and scalable AI systems.
• Contribute to the design and deployment of ML pipelines, including data processing, model training, and evaluation.
• Implement and maintain MLOps practices for metrics tracking and continuous integration/continuous delivery (CI/CD).
• Work with cloud providers (AWS, Azure, GCP) to deploy and manage AI solutions.
• Collaborate with cross-functional teams to define requirements and integrate AI functionalities into existing products.
• Actively participate in code reviews, version control (Git), and documentation.
• Communicate effectively in a remote setting and proactively contribute to team discussions.

What we offer you:

• Opportunity to work with the latest AI technologies and research.
• Flexible work arrangements.
• A team with an entrepreneurial mindset, focused on speed and results.
• Family-friendly and Inclusive work environment.
• Passionate colleagues working on exciting projects.
• Budget for your own device

Requirements:

• Education: Master’s degree in Computer Science, Data Science, or a related field.
• Industry Experience: Minimum of 2 years practical experience as an AI Engineer, applying AI/ML models to production-level software systems.
• Programming Proficiency: Strong experience (2+ years) in Python, with a solid understanding of micro-services architecture and API development.
• AI/ML Knowledge: In-depth understanding of machine learning concepts, particularly LLMs and transformers. Experience working with ML/DL libraries such as PyTorch, TensorFlow, Hugging Face Transformers, etc.
• Experience with AI agent frameworks (e.g., LangGraph) is a plus.
• Worked with Retrieval-Augmented Generation (RAG) architectures or frameworks is a plus
• Hands-on experience with state-of-the-art LLMs and tooling (e.g., OpenAI, Mistral, Gemini, Claude, etc.) is a plus
• Version Control & Deployment: Proficiency with Git, CI/CD workflows. Familiarity with MLOps concepts and tools (e.g., ML pipelines, experiment tracking) is a plus.
• Cloud Platforms: Hands-on experience with at least one major cloud provider (AWS, Azure, GCP).
• Problem-Solving: Ability to apply AI technologies in a pragmatic, solution-oriented way based on business needs and product context.
• Soft Skills: Strong communication skills, self-motivated, and able to work effectively in a remote, collaborative environment.
• Mindset: Naturally curious, proactive learner with a passion for AI and emerging software technologies.
• Language: Fluent in English, both spoken and written.
• Location: Work permit for Germany.

Join our team and be part of driving AI innovation!
We’re looking forward to meeting you

• Develop and implement AI solutions into our software products, focusing on real-world applications.
• Utilize Python, PyTorch, and microservices architecture to build robust and scalable AI systems.
• Contribute to the design and deployment of ML pipelines, including data processing, model training, and evaluation.
• Implement and maintain MLOps practices for metrics tracking and continuous integration/continuous delivery (CI/CD).
• Work with cloud providers (AWS, Azure, GCP) to deploy and manage AI solutions.
• Collaborate with cross-functional teams to define requirements and integrate AI functionalities into existing products.
• Actively participate in code reviews, version control (Git), and documentation.
• Communicate effectively in a remote setting and proactively contribute to team discussions