AI-driven Full Stack Developer – Public & Private Cloud (m/w/d)

Your mission

Your Mission

You use AI systematically as a development tool, from AI pair programming and automated code generation to the integration of agentic workflows. You do not work alongside AI, but with AI as an integral part of your development process.

You combine frontend and backend expertise with a deep understanding of modern cloud architectures, UX design principles, and quality engineering, playing a key role in the technological differentiation of our products.

Your Responsibilities

Full Stack Development

• Develop frontend and backend components for SaaS products
• Implement responsive, high-performance UI systems and scalable API services
• Apply clean core principles and API-first approaches
• Ensure code quality through AI-assisted reviews, automated testing, and ATC standards

AI-Native Development

• Use AI pair programming and code generation as part of the daily development process
• Integrate AI agents into the Software Development Lifecycle (SDLC), for example automated test generation and release validation
• Leverage AI tools for requirements analysis, documentation, and code optimization
• Collaborate closely with the Senior AI Engineer to continuously improve the AI toolchain

Dual-Track Cloud Development

• Enhance and evolve existing SAP products using ABAP OO and Clean Core principles

• Build cloud-native applications on SAP BTP using CAP and SAP Fiori

• Ensure consistent architectural patterns and design governance
• Consider multi-tenancy, scalability, and cloud cost optimization in all solutions

UX & Interaction Design

• Own user experience strategy and design system consistency within the POD
• Design AI-powered interaction patterns and agentic UX workflows
• Create and refine Fiori wireframes and UI components with AI agent support
• Ensure usability, accessibility, and UX consistency across product lines

Quality Engineering & DevOps

• Take end-to-end responsibility for quality within the Development POD
• Define testing strategies, orchestrate AI-generated test suites, and validate edge cases
• Actively contribute to CI/CD pipelines and automated deployment processes
• Implement shift-left quality gates and automated regression testing
• Create technical documentation (SDD/TDD) with AI assistance

Organizational Context

• Embedded within a Public Cloud Development POD (AI-native, lean structure)
• Close collaboration with:
  • Technical Architect
  • Senior AI Engineer
  • Solution Architect
  • Product Owner / Product Management
  • Platform & Release Management

Your profile

Qualifications & Experience

• Several years of experience in full-stack development of modern web applications
• Experience with SAP technologies (ABAP OO, SAP BTP, CAP, Fiori/UI5) or a strong willingness to develop expertise in these areas
• Hands-on experience with AI-assisted development tools (e.g., GitHub Copilot, Claude, Cursor)
• Strong knowledge of modern frontend frameworks and backend technologies
• Solid understanding of cloud-native architectures, CI/CD pipelines, and DevOps principles
• Strong UX mindset and experience with user-centered design processes
• Familiarity with test automation frameworks and quality engineering practices
• Experience with clean core development and API-first approaches is an advantage
• High level of initiative, continuous learning mindset, and strong collaboration skills in an agile environment

Why This Role Matters

As one of the first members of our Public Cloud Development POD, you bring together software engineering, user experience design, and quality engineering in a single AI-enabled role. In doing so, you help demonstrate that a lean, highly skilled team can significantly outperform the productivity and effectiveness of traditional development structures.

Through the consistent application of AI throughout the software development lifecycle, you will increase productivity, improve code quality, and accelerate innovation. Your contribution will play a key role in positioning Implico as an AI-native engineering organization.