Embark on a dynamic career as a Custom Software Engineer, specializing in the development and enhancement of robust software components. This role leverages modern frameworks and agile methodologies to deliver scalable, high-performance solutions designed to meet unique business requirements.

This position focuses on optimizing SAP Materials Management (MM) processes. You will utilize AI-assisted development tools and copilots to streamline requirement analysis, configuration, testing, documentation, and problem-solving. The goal is to enhance procurement, inventory management, and supplier collaboration, integrating pre-built AI capabilities to boost productivity without requiring in-depth AI model development.

Configure and optimize critical SAP MM processes, including Procure-to-Pay (P2P), purchase requisitions and orders, source lists, vendor management, and inventory control.

Leverage AI copilots to generate functional specifications, validate configuration logic, create comprehensive test cases, and automate essential documentation.

Support end-to-end delivery lifecycle from requirements gathering and solution design to deployment and hypercare.

Integrate MM with other SAP modules like SD, FI, PP, QM, and external supplier systems using standard APIs and middleware.

Apply AI tools to accelerate requirement interpretation, process design, data validation, error diagnostics, and test creation. Automate document generation and leverage AI for incident resolution.

Ensure adherence to procurement governance, audit policies, and operational controls. Collaborate with cross-functional teams to deliver integrated MM solutions.

A strong foundation in SAP MM is essential, with a deep understanding of P2P processes, purchasing document flows, vendor evaluation, and inventory management.

Demonstrated experience in configuring material master, vendor master, PO/PR processing, goods movements, and release strategies.

Familiarity with integrations across SAP SD, FI, PP, and QM modules is required.

Hands-on experience with AI copilots, LLM-powered documentation tools, and AI-assisted testing accelerators is crucial. You should be adept at integrating pre-built AI capabilities into MM workflows.

Possess strong analytical and problem-solving skills within procurement and material management scenarios. Excellent communication and collaboration abilities are vital.