Shape the future of custom software development as a Custom Software Engineer. This role focuses on designing, coding, and enhancing system components using modern frameworks and agile practices. Deliver scalable, high-performing solutions tailored to specific business requirements.

Leverage AI-assisted development tools to accelerate the entire development lifecycle, from requirement analysis and configuration to testing, documentation, and problem resolution. The goal is to streamline procurement, inventory management, and supplier collaboration by integrating pre-built AI capabilities, enhancing productivity without requiring deep AI model development.

Configure and optimize SAP Materials Management (MM) processes, including Procure-to-Pay (P2P), purchase requisitions/orders, source lists, vendor management, inventory movements, material master data, and release strategies.

Utilize AI copilots to generate functional specifications, validate configuration logic, create test cases, and automate documentation. Support end-to-end delivery from requirements gathering to hypercare, integrating MM with other SAP modules (SD, FI, PP, QM) and external systems.

Apply AI tools to accelerate requirement interpretation, process design, data validation, error diagnostics, and test creation. Integrate pre-built AI services for tasks like automated classification, predictive signals, and intelligent summarization of exceptions.

Ensure compliance with procurement governance and audit policies. Collaborate with cross-functional teams and contribute reusable templates and AI-augmented best practices for MM configuration and testing.

Possess strong SAP MM expertise, including a deep understanding of P2P processes, vendor evaluation, and inventory management. Experience configuring material and vendor masters, purchase orders, goods movements, and release strategies is essential.

Familiarity with integrations across SAP SD, FI, PP, and QM, as well as knowledge of IDocs, outputs, pricing procedures, and common MM troubleshooting patterns is required.

Demonstrate hands-on experience with AI copilots, LLM-powered documentation tools, and AI-assisted testing accelerators. Ability to integrate pre-built AI capabilities into MM workflows for automation and insight generation is key. Understanding responsible AI usage and its limitations is also important.

Showcase strong analytical and problem-solving skills in procurement and material management scenarios. Translate business requirements into scalable SAP MM configurations, supported by clear communication and a continuous learning mindset with comfort adopting AI-enabled productivity tools.