AI-Driven SAP Developer - AI Engineer

Körber Campus Porto; Porto; Presencial; EUR 40 000 - 60 000; Tempo integral

Resumo da oferta

Körber Campus Porto is looking for a Full-Stack Developer to create scalable applications on the SAP Business Technology Platform. You will integrate AI to automate processes and enhance productivity. Ideal candidates will have strong skills in Node.js or Java, SAPUI5, and a good grasp of Git and CI/CD practices. This role emphasizes collaboration and continuous learning, making it perfect for those eager to innovate in an AI-driven space.

Qualificações

• Strong foundation in Node.js or Java for enterprise services.
• Proficiency in JavaScript/TypeScript within SAPUI5/Fiori frameworks.
• Experience managing code versioning with CI/CD tools.

Responsabilidades

• Develop scalable, AI-driven applications on SAP BTP.
• Maximize productivity using AI coding assistants.
• Design and manage data pipelines for structured and unstructured data.

Conhecimentos

Node.js or Java

SAPUI5 / Fiori

Git & CI/CD

AI Orchestration

Prompt Engineering

Ferramentas

Docker

SAP HANA Cloud

Azure DevOps

Cloud Foundry

Descrição da oferta de emprego

The Mission

We are seeking a forward-thinking Full-Stack Developer to bridge the gap between robust SAP S/4HANA stability and the next generation of AI-driven enterprise applications. You will be responsible for building high-performance, Clean Core compliant extensions using the SAP Business Technology Platform (BTP) and crafting intuitive front-end experiences with UI5 and Angular. In this role, you will actively integrate SAP AI Core and generative AI tools to accelerate delivery, automate complex business processes, and bring intelligent insights to the heart of the enterprise.

What You’ll Do

• Develop scalable, AI-driven applications on SAP BTP, leveraging SAP AI Core and AI Foundation services, architecting systems that integrate Generative AI into core business processes such as Lead-to-Cash or Source-to-Pay.


• Maximize productivity by using AI coding assistants (GitHub Copilot, Cursor) and SAP-specific LLMs to write, refactor, and document CAP or RAP code, staying at the forefront of prompt engineering for automated code generation.


• Design and manage data pipelines that bridge the gap between structured SAP data and unstructured insights, integrating RESTful APIs and managing high-performance databases, specifically utilizing SAP HANA Cloud's vector engine for Retrieval-Augmented Generation (RAG) architectures.


• Maintain a rigorous Git workflow to ensure stability in complex SAP landscapes, following Gitflow strategies to manage clean commits and painless merges, ensuring that AI model configurations and application logic are versioned with enterprise-level precision.


• Develop modular, reusable components in Angular or SAP UI5 that integrate seamlessly with AI features, creating "Agentic" user interfaces—UIs that provide AI-powered recommendations and natural language interactions.


• Use Docker to containerize AI models and microservices, ensuring consistent execution environments, deploying and managing workloads via SAP AI Core to keep models production-ready, resource-efficient, and compliant with SAP’s Clean Core strategy.


• Collaborate by participating in code reviews (giving and receiving) and agile ceremonies.


• Continuously learn by testing and adopting new AI dev-tools that improve the team’s workflow.

What You Bring to the Table

• CAP (Cloud Application Programming Model): strong foundation in Node.js or Java, with experience building enterprise-grade services that integrate seamlessly with SAP HANA.


• SAPUI5 / Fiori: proficiency in JavaScript/TypeScript and modern SAPUI5, understanding the Fiori Design Guidelines, and building responsive, enterprise-ready frontends.


• Git & CI/CD: comfortable managing code versioning within SAP Continuous Integration and Delivery or Azure DevOps, discerning rebase vs merge strategies.


• BTP & Containers: able to navigate the SAP BTP Cockpit, deploy MTAs (Multi-Target Applications), and understand why Cloud Foundry and Kyma (Kubernetes) underpin modern SAP extensibility.

The AI & Tooling Edge

• AI Orchestration: experience using AI tools for boilerplate generation, unit test creation, and advanced debugging.


• Prompt Engineering: adept at crafting precise instructions for LLMs to produce high-quality, secure code outputs.


• Critical Evaluation: expert at auditing AI-generated code for security vulnerabilities and performance bottlenecks, applying Human-in-the-Loop (HITL) review processes.

Nice-to-Haves

• Experience integrating OpenAI, Anthropic, or Gemini APIs into web applications.


• Familiarity with vector databases such as pgvector or Pinecone, or LangChain.


• Knowledge of cloud platforms (AWS, Azure, or GCP).


• A testing mindset—experience with JUnit, Jasmine/Karma, or equivalent.

Who You Are

• Pragmatic: know when to write code from scratch and when to let an AI assistant handle it.


• Curious: experiment with the latest LLM models and plugins without waiting for a training manual.

We value diversity and therefore welcome all applicants - regardless of gender, nationality, ethnic or social origin, religion/belief, disability, age, sexual orientation and identity, and any other protected status.