September 2025, fulltime, hybrid ,
Heidelberg
Germany
AI Engineer (m/f/d)
(About Us)
We at EXA AG are looking for new team members. If you are a team player who has a strong sense of responsibility and a deep-rooted sense of community, you are in the right place. With us, you will find more than just a job—we offer you a professional home with a career perspective.
As part of the global SNP family, EXA AG specialized in Global Intercompany Management software solutions for multinational corporations. We support companies in transforming complex challenges within CFO organizations into effective, AI-powered solutions through our SAP standard software. The EXA Global Intercompany Management Suite includes our products Global Value Chain (GVC), Operational Transfer Pricing (OTP), Product Environmental Footprint (PEF), and Service Cross Charging (SCC).
(Job Description)
Your Role
As an AI Engineer, you will work with a variety of projects.
* You will design, develop, and implement enterprise-grade AI solutions tailored to EXA's products
* You will collaborate with cross-functional teams to translate business requirements into intelligent technical solutions
* You will ensure the scalability, reliability, and compliance of deployed AI systems with applicable regulations
* You will actively evangelize the adoption of AI across the organization by conducting workshops, training, and enablement sessions
* You will evaluate and intergrate AI/ML services from major cloud platforms including AWS, Azure and GCP
* You will keep up to date with the latest developments in the AI landscape and assess emerging tools and technologies for potential adoption
Your Profile
You have a university degree in a STEM discipline (Computer Science, Engineering, Mathematics, Data Science, or related field).
You have total 4-5 years of IT experience with 2-3 years of hands-on experience in AI/ML application development, ideally in enterprise environments,
You have strong programming skills in Python and familiarity with AI/ML frameworks such as TensorFlow, PyTorch, scikit-learn, or Hugging Face.
You are experienced in setting up AI infrastructure on-premises.
You have a solid understanding of machine learning fundamentals, including model fine tuning, pre-training, and RAG.
You have experience with DevOps tools and practices including Docker, Kubernetes, CI/CD pipelines, and monitoring solutions.
You are comfortable working with cloud-based AI/ML services (e.g., SageMaker, Azure AI, Vertex AI).
You are passionate about using AI to solve real-world business problems and committed to staying current with AI trends and innovations.
You are a strong communicator and enjoy sharing knowledge and guiding others on the potential of AI in their day-to-day work.
You have good communication and presentation skills in English and German.
Good to have – Hands on React experience
* Work Location: Heidelberg, Germany, hybrid
What Your Future Will Look Like
* An international team with a mix of experienced and new employees who share a passion for continuous learning and knowledge sharing.
* An agile organization with flat hierarchies that always puts customer needs at the center.
* A corporate culture that supports personal development and considers individual interests.
* An attractive and performance-based compensation package, along with a well-located office with excellent transport connections.
* A modern and open work atmosphere with a "remote and digital" rather than "travel and analog" mindset.
* Excellent career opportunities in a fast-growing company.
* A professionally challenging and dynamic task and project environment.
* A long-term strategy and product vision with a global perspective.
* A fair and attractive salary with a performance-based compensation system.
Our diversity and values
We comply with prevailing law and do not cause harm; we respect one another and promote inclusion/non- discrimination. Our vision is a sustainable and peaceful world. Our mission is to help our customers achieve transparency, compliance, and sustainability in global business.
Equal opportunities
Qualified applicants will receive consideration for employment regardless of age, race, religion, national origin, ethnicity, gender, protected veteran status, or disability.