Custom Software Engineer

Project Role : Custom Software Engineer Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs. Must have skills : SAP PP Production Planning & Control Discrete Industries Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education

Summary

AI Powered Tech Talent You will design, configure, and enhance SAP Production Planning (PP) processes for discrete manufacturing environments while using AI assisted development tools and copilots to accelerate requirement analysis, configuration, testing, documentation, and issue resolution. The role focuses on delivering efficient production planning, shop floor execution, and material staging processes while integrating pre built AI services where beneficial. No deep AI model engineering, vector DB work, RAG, or agentic system development is required.

Key Responsibilities

Functional & Technical Delivery Configure and support SAP PP processes including: o Material Requirement Planning (MRP) o Production Orders & Execution o Routings, Work Centers & BOM Management o Capacity Planning & Scheduling o Backflushing & Costing Integration o Goods Movements & Shop floor Reporting

Use AI copilots to accelerate:

o Functional specification creation o Routing/BOM validation o Test case generation for MRP, order creation, confirmations o Documentation automation (FS/TS/SOPs) Support full lifecycle delivery: requirements, design, configuration, SIT/UAT, deployment, hypercare support. Integrate PP with MM, QM, SD, FI/CO, and shop floor systems (MES), leveraging standard APIs and middleware. AI Assisted Productivity

Use AI copilots for:

o Automated summarization of requirements and change impacts o Analysis of MRP exceptions and planning alerts o Validation of order execution and production variances o Faster defect isolation in BOM/routing/work center configurations Integrate pre built AI services into production workflows, such as: o Predictive insights (e.g., potential material shortages or order delays) o Intelligent classification of production issues o Automated summarization of production batch deviations o Smart suggestions based on historical production performance Use LLM assisted troubleshooting to reduce time spent analyzing MRP exception messages, order failures, and material shortages. Governance, Quality & Collaboration Ensure compliance with production governance, change controls, data accuracy standards, and audit policies. Participate in workshops, solution reviews, and process optimization discussions enhanced by AI generated insights. Collaborate with production, quality, warehouse, procurement, cost controlling, and integration teams to deliver end to end planning excellence. Create reusable templates, checklists, test packs, and AI enabled best practices for SAP PP delivery.