Need U.S Citizen & s
Must Have Skills:Education: BS/MS in Computer Science, Engineering, or a related technical field.
Retail Domain Expertise: 10+ years of core retail industry experience with a deep understanding of merchandise hierarchies, foundational inventory management, pricing systems, and supply chain operations.
Technical Stack Mastery: 8+ years of hands-on software development experience utilizing JavaScript, XML, XSD, JSON, Linux environments, and RESTful/SOAP Web Services.
Stibo STEP Experience: 8+ years of direct configuration and architecture experience within Stibo STEP PIM (workflows, portal development, endpoint integrations).
Oracle Retail Experience: Deep technical exposure to Oracle RMS/RMFCS database schemas, including advanced capability writing/reviewing complex operational PL/SQL queries and performance-tuning Oracle databases.
Agentic AI Proficiency: Demonstrated experience in developing autonomous AI agents. Practical experience with prompt engineering, Retrieval-Augmented Generation (RAG) pipelines.
Delivery & Agility: Proven capability to prioritize deliverables, architect reusable systems, and collaborate with Product Management teams in a fast-paced Agile environment (Jira/Git).
Cloud Environments: Familiarity with deploying, configuring, and maintaining enterprise applications in cloud and SaaS environments.
Job Description:We are seeking a highly technical, strategic, and domain-expert Lead / Staff Software Engineer to spearhead the engineering, integration, and automation of our core enterprise merchandising platforms. In this role, you will take full ownership of our master data and core merchandising ecosystem, Stibo STEP PIM (Product Information Management), Oracle Retail Suite (RMS / RMFCS) and Inventory Planning and Forecasting.
Oracle Retail Merchandising System (RMS) and Product Information Management (PIM) role bridges merchandising and data governance. You will design, configure, and maintain integrated platforms to manage enterprise product lifecycles, ensuring seamless data flow across supply chain, inventory, and point-of-sale systems.
This is a strictly hands-on role. You will write code, build integrations, configure platforms, and actively architect the system. Beyond traditional software engineering, this position requires demonstrated experience in Agentic AI development. You will leverage various Large Language Models (LLMs) and autonomous AI frameworks to build intelligent agents that automate code development, data enrichment, flag inventory anomalies, and streamline global supply chain workflows.
Key ResponsibilitiesEducation: BS/MS in Computer Science, Engineering, or a related technical field.
Retail Domain Expertise: 10+ years of core retail industry experience with a deep understanding of merchandise hierarchies, foundational inventory management, pricing systems, and supply chain operations.
Technical Stack Mastery: 8+ years of hands-on software development experience utilizing JavaScript, XML, XSD, JSON, Linux environments, and RESTful/SOAP Web Services.
Stibo STEP Experience: 8+ years of direct configuration and architecture experience within Stibo STEP PIM (workflows, portal development, endpoint integrations).
Oracle Retail Experience: Deep technical exposure to Oracle RMS/RMFCS database schemas, including advanced capability writing/reviewing complex operational PL/SQL queries and performance-tuning Oracle databases.
Agentic AI Proficiency: Demonstrated experience in developing autonomous AI agents. Practical experience with prompt engineering, Retrieval-Augmented Generation (RAG) pipelines.
Delivery & Agility: Proven capability to prioritize deliverables, architect reusable systems, and collaborate with Product Management teams in a fast-paced Agile environment (Jira/Git).
Cloud Environments: Familiarity with deploying, configuring, and maintaining enterprise applications in cloud and Saas.
OpenKyber - Lead Recruiter Direct Line : *166 | Email : hirings@openkyber.com LinkedIn: Princeton Forrestal Village, 116 Village Blvd, Suite 200 , Princeton, NJ ,08540 Note: If you'd prefer not to receive future emails, just reply with " Unsubscribe " and I'll promptly remove you from our list.
For applications and inquiries, contact:hirings@openkyber.com
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