AI-Driven SAP Developer - AI Engineer

Körber; Porto; Presencial; EUR 35 000 - 50 000; Tempo integral

Resumo da oferta

Körber is looking for a Full-Stack Developer in Porto, Portugal, to develop AI-driven applications on SAP BTP, leveraging technologies like SAP HANA, Angular, and Docker. You will design data pipelines, maintain Git workflows, and integrate AI features into applications. The ideal candidate possesses a strong foundation in Node.js or Java and is proficient in SAPUI5 and prompt engineering. Join Körber to innovate within AI technologies in a progressive environment that values diversity.

Qualificações

• Strong foundation in Node.js or Java, experience with CAP framework is essential.
• Proficiency in JavaScript/TypeScript and modern SAPUI5, understanding Fiori Design Guidelines.
• Experience using AI tools for boilerplate generation, unit test creation, and debugging.

Responsabilidades

• Develop scalable, AI-driven applications on SAP BTP.
• Maintain a rigorous Git workflow to ensure stability in complex SAP landscapes.
• Design and manage data pipelines integrating structured SAP data and unstructured insights.

Conhecimentos

AI-driven applications development

Git workflow management

Docker usage

Angular or SAP UI5

Prompt engineering

Critical evaluation of code

Ferramentas

Node.js

Java

SAP HANA

Git

Azure DevOps

AI tools

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.

What You’ll Do

• Develop scalable, AI-driven applications on SAP BTP, leveraging SAP AI Core and AI Foundation services. Architect systems that integrate Generative AI into core business processes (like 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. Stay at the forefront of prompt engineering for automated code generation.
• Design and manage data pipelines that bridge structured SAP data and unstructured insights, integrating RESTful APIs and managing high-performance databases, utilizing SAP HANA Cloud’s vector engine for RAG architectures.
• Maintain a rigorous Git workflow to ensure stability in complex SAP landscapes, following Gitflow strategies for clean commits and painless merges, ensuring 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 user interfaces that provide AI-powered recommendations and natural language interactions.
• Use Docker to containerize AI models and microservices, ensuring consistent execution environments, and deploy and manage workloads via SAP AI Core, ensuring production readiness, resource efficiency and compliance with SAP’s Clean Core strategy.
• Collaborate by participating in code reviews and agile ceremonies.
• Continuously learn by testing and adopting new AI development tools that improve the team’s workflow.

The Core Stack

• CAP (Cloud Application Programming Model): Strong foundation in Node.js or Java; experience with the CAP framework is essential for building enterprise-grade services that integrate with SAP HANA.
• SAPUI5 / Fiori: Proficiency in JavaScript/TypeScript and modern SAPUI5, understanding 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, knowing differences between rebase and merge.
• BTP & Containers: Navigate the SAP BTP Cockpit, deploy MTAs, and understand Cloud Foundry and Kyma (Kubernetes) as the backbone of modern SAP extensibility.

AI & Tooling Edge

• AI Orchestration: Experience using AI tools for boilerplate generation, unit test creation and complex debugging.
• Prompt Engineering: Ability to craft precise instructions for LLMs to produce high-quality, secure code outputs.
• Critical Evaluation: Auditing AI code for security vulnerabilities and performance bottlenecks, applying HITL (Human in the Loop) principles.

Nice-to-Haves

• Experience integrating OpenAI, Anthropic or Gemini APIs into web applications.
• Familiarity with vector databases (e.g., pgvector or Pinecone) or LangChain.
• Familiarity with Cloud platforms (AWS, Azure or GCP).
• Testing mindset—experience with JUnit, Jasmine/Karma or equivalent.

Who You Are

• Pragmatic: Know when to write code from scratch and when an AI assistant can handle the heavy lifting.
• Curious: Experiment with the latest LLM models and plugins without waiting for training manuals.

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