Innovate and build custom software solutions as a Custom Software Engineer. This role involves designing, coding, and enhancing components across various systems and applications, utilizing modern frameworks and agile methodologies.

We are seeking an engineer to deliver scalable, high-performing solutions precisely tailored to unique business requirements. This position is perfect for someone passionate about transforming business needs into robust software.

Develop and optimize SAP Materials Management (MM) processes, including Procure-to-Pay (P2P) and inventory management.

Leverage AI copilots to accelerate the creation of functional specifications, validate configuration logic, generate high-quality test cases, and automate key documentation.

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

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

Apply AI tools to enhance requirement interpretation, data validation, error diagnostics, and test creation.

Integrate pre-built AI services for automated classification, predictive signals, and intelligent summarization of exceptions.

Ensure compliance with procurement governance, audit policies, and material master standards.

Collaborate effectively with cross-functional teams to deliver cohesive MM solutions.

Contribute reusable templates and AI-augmented best practices for MM configuration and testing.

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

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

Familiarity with integrations across SAP SD, FI, PP, and QM modules, including knowledge of IDocs, outputs, pricing procedures, and common MM troubleshooting patterns.

Practical experience utilizing AI copilots, LLM-powered documentation tools, and AI-assisted testing accelerators is required.

Ability to integrate pre-built AI capabilities into MM workflows for automation and insight generation is crucial.

Possess strong analytical and problem-solving skills in procurement and material management contexts.

Clear communication and collaboration skills, coupled with a continuous learning mindset and comfort adopting AI-enabled productivity tools, are highly valued.