Creating a future worth living for future generations gets us out of bed every morning. Depending on the project, we are consultants, implementers, or both for sustainable, innovative and economical solutions for real estate, industry, energy and infrastructure. Our more than 6,500 employees at over 80 locations worldwide support our customers in interdisciplinary teams. Our thinking is both visionary and realistic. We work independently and as part of a team. With passion and the latest technologies. We unite. Join us at Dreso and let’s create a world we want to live in.
Job DescriptionAre you passionate about shaping the future of data-driven industrial projects? Do you enjoy developing innovative automation and AI solutions that unlock potential along the entire value chain? We are currently seeking an AI Engineer to join our growing team in Thessaloniki, Greece.
- Design, build and operate AI and automation workflows, from concept to scalable use
- Create data pipelines and integrate diverse systems and data sources
- Develop RAG/ Agentic AI solutions
- Build and maintain API, MCP, A2A, and workflow integrations, leveraging platforms such as n8n
- Develop Solutions using Python, SQL/ NoSQL and vector databases
- Establish and, support a Power User community through training, coaching, and technical support
- A degree in computer science, mathematics, a natural science, civil engineering or a comparable field
- Sound knowledge of data engineering, data science and machine learning as well as experience in the design and implementation of modern AI solution architectures (e.g. RAG and Agentic RAG systems)
- Very good Python skills, especially with Pandas, NumPy and scikit-learn, as well as experience with modern AI and LLM frameworks such as LangChain, PydanticAI or AWS Strands
- Confident handling of SQL, NoSQL and vector databases, such as PostgreSQL, Neo4j and Qdrant
- Experience in connecting APIs and modern agent protocols such as REST, OAuth 2.0, webhooks, MCP and A2A; initial experience with workflow platforms such as n8n is desirable
- A pragmatic, structured, and results-oriented professional who drives effective solutions and thrives in a small, agile team
- Fluency in English; German is a plus
- To ensure your work-life balance, we offer the option of mobile working
- We promote your professional and personal development through individual training and further education at the Drees & Sommer Academy
- We support your health with a bonus for sports enthusiasts or a subsidy for a gym membership or other activities
- Company health insurance scheme
- Additional attractive offers with discounts in the corporate benefits portal. Employee referral program with attractive bonus scheme
- Compatibility of work and family with possibility of individual agreements on flexible working hours and additional benefits for special private occasions
Skills Required
- Degree in computer science, mathematics, natural science, civil engineering, or a comparable field
- Sound knowledge of data engineering, data science, and machine learning
- Experience designing and implementing modern AI solution architectures, including RAG and Agentic RAG systems
- Very good Python skills, particularly with Pandas, NumPy, and scikit-learn
- Experience with modern AI and LLM frameworks such as LangChain, PydanticAI, or AWS Strands
- Confident handling of SQL, NoSQL, and vector databases such as PostgreSQL, Neo4j, and Qdrant
- Experience connecting APIs and modern agent protocols including REST, OAuth 2.0, webhooks, MCP, and A2A
- Initial experience with workflow platforms such as n8n
- Pragmatic, structured, and results-oriented approach with ability to drive effective solutions in a small agile team
- Fluency in English
- German language skills
What We Do
Drees & Sommer is an international consulting and implementation firm specializing in sustainable, innovative, and economical solutions for real estate, infrastructure, and industry. Founded in 1970, they employ over 6,500 people across 80+ cities worldwide, focusing on driving sustainability and digitalization simultaneously across their diverse portfolio of projects.






