Job
- Level
- Junior
- Location
- Munich
- Working Model
- Full Remote
- Job Field
- Data, Application
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will develop AI-powered features for banking software, collaborate closely with an experienced team, and participate in the end-to-end implementation of innovative solutions from concept to production.
Job Technologies
Your role in the team
- We are seeking a Graduate AI Engineer (m/f/d) to join our AI innovation team and help shape the next generation of banking products.
- In this role, you will contribute to the design, development, and deployment of AI-powered features that enhance our core banking software.
- This is an exciting opportunity for an early-career developer to gain hands-on experience with Generative AI technologies in a real-world enterprise environment.
- You will work alongside experienced engineers, product teams, and banking experts to build innovative solutions, transform ideas into working prototypes, and support the delivery of production-ready AI capabilities for customers around the world.
- Contribute to the design, development, testing, and deployment of AI-powered features for our banking products.
- Participate in the full AI innovation lifecycle, from exploring new ideas and building prototypes to helping deliver scalable, production-ready solutions.
- Work with banking data and business processes to develop AI applications that generate insights, automate tasks, and enhance user experiences.
- Collaborate closely with software engineers, product managers, solution experts, and customer-facing teams to deliver impactful AI solutions.
- Learn and apply best practices for developing secure, scalable, and reliable AI applications.
- Assist in integrating AI capabilities with our core banking platforms and enterprise technologies, including SAP-based environments where applicable.
- Stay up to date with emerging AI technologies and contribute ideas that help drive innovation across our products.
- Übernehmen Sie die Verantwortung für Entwicklungsaufgaben, während Sie Mentoring und Anleitung von erfahrenen Teammitgliedern erhalten.
This text has been machine translated. Show original
Our expectations of you
Education
- Degree in (Business) Informatics, (Business) Mathematics, Computer Science, Physics, Engineering and interest in the consulting business in the area of financial service providers.
Qualifications
- Understanding of different approaches to integrate LLMs into enterprise solutions.
- Strong programming skills (e.g. Python, Java, JavaScript, C++, R).
- Fähig, Geschäftsanforderungen in skalierbare KI-Architekturen zu übersetzen.
Experience
- First cloud-native development experience (Azure, AWS, or Google Cloud) with containerization/orchestration (Docker, Kubernetes).
This text has been machine translated. Show original
What we offer
- Gestalten Sie die Zukunft der KI im Bankwesen - Führen Sie die Entwicklung von KI-Fähigkeiten an, die in geschäftskritische Systeme integriert sind.
- Hands-on innovation - Own the full lifecycle from prototype to production.
- Team-building impact - Build and mentor a new AI development team from the ground up.
- Global collaboration - Work with colleagues and clients across continents.
- Flexibility - Remote-first with occasional travel for high-value interactions.
This text has been machine translated. Show original
Benefits
Health, Fitness & Fun
Work-Life-Integration
Higher Take-Home Pay
Topics You Will Work On
Job Locations
About Your Employer
SAP AG
Our story begins in 1972 with five colleagues who wanted to do something new. Together, they changed the way business is done and revolutionized the software industry. Today, we are still true to our roots as market leaders in enterprise software applications.
Description
- Company Size
- 250+ Employees
- Language
- English
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Employer reviews
by devworkplaces.com
Total
(1 Review)3.4
Career Growth
3.4Engineering
3.0Workingconditions
4.0Culture
3.5