Artificial Intelligence Engineer

SYNLAB Group

SYNLAB Group is the leader in medical diagnostic services and specialty testing in Europe, offering a full range of innovative and reliable medical diagnostics to patients, practicing doctors, hospitals and clinics, governments and corporates. We operate in 30 countries across four continents. More than 25,000 employees, including over 2,000 medical experts, contribute daily to the Group’s worldwide success.

To strengthen our team in Munich's Group HQ, we are looking for a

Senior AI Engineer

Responsibilities

Collaborate within an agile team to build AI-driven solutions: work with development tickets, contribute to sprint planning and reviews, and ensure alignment with team goals and timelines.

Drive AI research and experimentation: explore novel approaches, design and run experiments (including A/B tests), and translate findings into actionable improvements.

Support end-to-end delivery processes: participate in release cycles, demos, and feedback loops to continuously improve AI features and user experience.

Required skills:

General skills

Strong foundation in OOP, modular programming, unit testing, code readability, and maintainability.

Familiar with development practices: Docker, Git workflows, documentation.

Team collaboration: proficiency at working within the scrum framework.

AI skills

Strong experience with LangChain and Azure cognitive services (e.g., Azure OpenAI, AI Search, Document Intelligence).

Thorough understanding of GenAI and LLM concepts: prompt engineering, LLM tools, RAG architecture and agentic design patterns.

Python backend development skills

Strong experience in building RESTful microservices, leveraging tools such as FastAPI, SQLModel, Pydantic, Pika, Celery, Pymongo. Also, knowledge of related technologies such as SQL and NoSQL databases and message brokers.

Strong experience with Python async programming and WebSocket-based communication.

Experienced in mature development practices: Docker, Git workflows, release management, documentation, and linting.

Familiarity with Azure-centric development: Container Applications, Azure Functions, Service Bus, Blob Storage, etc.

Optional skills

AI skills

Advanced GenAI skills: e.g. fine-tuning, employing Huggingface models, Model-Context-Protocol (MCP).

Traditional Machine Learning: scientific programming with Python (Pandas, scikit-learn, PyTorch); statistics and machine learning knowledge.

Background in research with a solid understanding of algorithm performance metrics, A/B testing, and feasibility analysis.

Python backend development skills

Experience in one or more of visualization and dashboarding tools: Streamlit, Plotly, Python Reflex, etc.

You can expect from us:

Join a dynamic and international work environment, where collaboration across borders is part of daily life.

Take on a high-impact role with Group-level visibility, giving you the opportunity to coordinate internal control activities across multiple countries.

Benefit from a high degree of autonomy and ownership, allowing you to structure and lead key initiatives with real influence on the business.

Enjoy a flexible working culture, with a remote work policy of up to 3 days per week.

To work in a fast-growing company and play an active role in its success.

Corporate benefits.