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(Senior/Expert) Full Stack Developer for Platform AI Team, Porto Salvo
Client:
SAP
Location:
Porto Salvo
Job Category:
Other
EU work permit required:
Yes
Job Reference:
9d18ce7b5789
Job Views:
4
Posted:
15.03.2025
Expiry Date:
29.04.2025
Job Description:
What you’ll do
We are looking for a Senior/Expert Full Stack Developer with a passion for innovative cloud platform topics and the field of Generative Artificial Intelligence (GenAI).
GenAI has emerged as a transformative force in society, with the ability to create, mimic, and innovate across a wide range of domains. This has implications for enterprise software and ultimately SAP.
This role presents a unique opportunity to shape and deliver the future of GenAI capabilities across our Business Technology Platform (BTP) and requires a self-directed team player with deep coding knowledge and business acumen.
Join our international multi-disciplinary AI team, where you will work closely with Architects, Data Engineers, UX designers, and others. You'll be immersed in an environment that fosters innovation, with plentiful opportunities for personal growth and continuous learning.
Your responsibilities as a (Senior/Expert) Full Stack Developer include:
* Designing and building stable and scalable AI-based solutions, PoCs, and initial versions of new products & features, making critical design decisions for technology selection.
* Rapidly iterating and experimenting with GenAI, developing both front-end and back-end components.
* Collaborating with colleagues in a cross-functional team to develop and deliver modular, reusable components that integrate seamlessly across diverse cloud technology environments.
* Exploring and assessing new technologies in generative AI, Large Language Models (LLMs), AI-augmented development, tools, and infrastructure to evolve existing functionalities and services in the cloud.
* Designing, maintaining, and optimizing the framework for collecting, processing, transforming, and granting access to data for GenAI applications.
What you bring
* A Master’s degree in computer science or a related field with 5+ years of professional experience in Software Development.
* Strong experience in building resilient distributed systems using relevant cloud technologies such as Kubernetes, BTP, AWS/Azure/GCP.
* Proficiency in modern programming languages and concepts (e.g., Go, TypeScript) and experience developing both back-end and front-end components.
* Experience with state-of-the-art software engineering methodologies, e.g., Test Driven Development, Domain Driven Design, continuous integration, and DevOps.
* Ability to keep pace with GenAI technology shifts and solve problems creatively within a diverse team with different expertise backgrounds.
* Familiarity with data-centric languages (Python), SQL databases (e.g., SAP HANA Cloud, PostgreSQL), and data modeling.
* Excellent communication skills with fluency in written and spoken English.
Tech you'll learn
LLMs, Retrieval Augmented Generation, SAP AI Core and GenAI Hub, Vector Engines, LangChain, AI Agents, and relevant advancements in the field of GenAI.
Combining all these qualities may seem challenging, but we are confident that the right candidate, equipped with strong intrinsic motivation and a good cultural fit, can rapidly acquire the necessary technical skills. If you are eager to expand your abilities, gain knowledge, and contribute to one of the most innovative areas today, we encourage you to reach out to us.
Meet your team
SAP's Business Technology Platform is shaping the future of enterprise software, creating the ability to extend and personalize SAP applications, integrate and connect entire landscapes, and empower business users to integrate processes and experiences.
The BTP AI team is part of the T&I board area and BTP foundation, hosting a range of cross units for BTP. Our team aims to stay ahead of the latest advancements in AI and apply these to increase platform value for our customers and partners. It is a multi-disciplinary team of data engineers, engagement leads, development architects, and developers focused on supporting and delivering AI cases in the context of BTP.
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