Join our team as a Custom Software Engineer and play a key role in developing innovative software solutions. You will be responsible for designing, coding, and enhancing components across various systems, utilizing modern frameworks and agile methodologies to deliver high-performing, scalable solutions that meet specific business requirements. This role focuses on creating tailored applications to address unique challenges.

This position specifically involves configuring and optimizing SAP Materials Management (MM) processes. You will leverage AI-assisted development tools and copilots to enhance efficiency throughout the project lifecycle, from requirement analysis and configuration to testing, documentation, and problem resolution. The goal is to streamline procurement and inventory management, integrating pre-built AI capabilities to boost productivity without requiring deep expertise in AI model development.

Configure and optimize SAP MM processes, including Procure-to-Pay (P2P), Purchase Requisition/Order Management, Source Lists & 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, create test cases, and automate documentation. Support end-to-end delivery from requirements gathering to hypercare. Integrate MM with SD, FI, PP, QM, and external systems using standard APIs, IDocs, and middleware. Apply AI tools to accelerate requirement interpretation, process design, data validation, error diagnostics, test creation, and document generation. Integrate pre-built AI services for enhanced MM operations, such as automated classification or predictive signals. Contribute to governance, quality assurance, and collaborative efforts, ensuring compliance and participating in process optimization discussions supported by AI insights.

Possess a strong understanding of SAP MM processes, including P2P, purchasing document flows, vendor evaluation, and inventory management. Experience in configuring material master, vendor master, PO/PR processing, goods movements, and release strategies is essential. Familiarity with integrations across SD, FI, PP, and QM modules, along with knowledge of IDocs, outputs, pricing procedures, and common MM troubleshooting patterns. 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 is required. General skills include strong analytical and problem-solving abilities in procurement and material management, clear communication, and a continuous learning mindset comfortable with adopting AI-enabled productivity tools.