About the role

Key role in AI solutions development and deployment.
Collaborate with AI Lab team and stakeholders.
Contribute across the full AI application lifecycle.
Design and maintain front-end and back-end components.
Evaluate and implement new AI models and technologies.

Skills the posting asks for

Python
TypeScript
React
FastAPI
Docker

Summarised from the employer’s posting, which is reproduced in full below.

The employer’s full posting

Company Description

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 Description

As an AI Engineer you will play a key role in the development, deployment, and continuous improvement of AI solutions. Working closely with the AI Lab team and stakeholders, you will contribute across the full AI application lifecycle, from requirements gathering and solution design to implementation and productive operation. You will help deliver innovative AI-driven solutions for internal teams and external customers in the construction and real estate industry.

Your responsibilities:

Documentation, knowledge transfer, and support in the adoption and scaling of successful AI solutions
Design, develop, and deploy AI solutions from prototype to productive use in collaboration with the AI Lab team
Develop and integrate AI system components, including RAG pipelines, agents, tools, skills, and MCP connections
Develop and maintain front-end and back-end components and support the operation of AI solutions (Cloud and On-Premise)
Collaborate with internal and external stakeholders to gather requirements and deliver AI-enabled solutions
Contribute to the further development of the AI platform, solution architecture, and engineering best practices
Evaluate, test, and implement new models, frameworks, and technologies for use in the construction and real estate domain

Qualifications

Degree in Computer Science, Data Science, Mathematics, Physics, or a comparable field
Professional experience in software engineering with a focus on cloud, backend, or frontend technologies (e.g., Python, TypeScript, React, FastAPI, Docker, CI/CD)
Practical experience in AI engineering through professional work, internships, research projects, or personal projects (e.g., RAG systems, agent architectures, LLM integration, prompt/context engineering, or fine-tuning)
Understanding of how AI application components interact, including retrieval, orchestration, tool usage, and evaluation
Strong problem-solving skills and the ability to work independently within a collaborative environment
High English level (C1)

Additional Information

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. We offer the possibility of subscribing to a private health insurance policy
Employees benefit from tax advantages related to their commuting expenses for the office
Fiscal advantages for employees expenses in meal costs during worktime. Employee referral program with attractive bonus scheme
Supporting career and family by receiving tax benefits for kindergarten expenses