Join us as a Custom Software Engineer to design, code, and enhance system components. You will leverage modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs. This role focuses on developing custom software, ensuring efficiency and adaptability in every project.

We are seeking an engineer who can develop custom software solutions to design, code, and enhance components across systems or applications. Utilizing modern frameworks and agile practices is key to delivering scalable, high-performing solutions that meet unique business requirements.

Configure and optimize SAP Materials Management (MM) processes, including Procure-to-Pay, Purchase Requisition/Order Management, Source List & Quota Arrangements, Vendor Management, Inventory Management, Reservations & Movements, Material Master Data, and Release Strategies & Pricing. Utilize AI copilots to generate functional specifications, validate configuration logic, and create high-quality test cases.

Support end-to-end delivery across requirements gathering, solution design, configuration, SIT/UAT, deployment, and hypercare. Integrate MM with SD, FI, PP, QM, and external supplier systems using standard APIs, IDocs, and middleware. Apply AI tools to accelerate requirement interpretation, process design, data validation, error diagnostics, and test creation. Integrate pre-built AI services to enhance MM operations, such as automated classification or predictive signals.

A strong understanding of SAP MM processes, including P2P flows, vendor evaluation, and inventory management, is essential. Experience configuring material master, vendor master, PO/PR processing, goods movements, and release strategies is required. Familiarity with integration across SD, FI, PP, and QM, along with knowledge of IDocs, outputs, and common MM troubleshooting patterns, is expected.

Demonstrated hands-on experience using AI copilots, LLM-powered documentation tools, and AI-assisted testing accelerators is crucial. The ability to integrate pre-built AI capabilities into MM workflows for automation and insight generation is key. A solid understanding of responsible AI usage, data quality impacts, and AI limitations within procurement contexts is also necessary. Strong analytical and problem-solving skills in procurement and material management, coupled with clear communication and collaboration abilities, are vital for success in this role.