Key Responsibilities
• Build LLM-powered agents that extract structured, machine-readable business rules from unstructured retailer merchandising documents.
• Design and maintain rule schemas, scopes, and taxonomies for a business rules engine that downstream systems can consume and execute.
• Detect and resolve conflicts between rules, and continuously validate extraction/rule quality through evaluation loops.
• Own assortment optimization workflows: space-aware scoping and constraints, hyper-local/store-level recommendations, and translating optimizer output into compliant merchandising/planogram changes.
• Partner closely with the backend/systems engineering team to keep rule schemas and APIs in sync.
• Work with cloud LLM platforms, balancing accuracy, cost, and latency across model choices.
• Contribute to rule-review UI/UX and citation/traceability back to source documents as needed. Required Skills
• Solid Python proficiency and hands-on production experience building LLM-powered agent workflows (prompt design, orchestration, structured-output extraction).
• Hands-on experience with a business rules engine / decision engine (e.g., GoRules / ZEN Engine,



Drools, or similar BRE/DMN-style systems).
• CPG or retail industry experience — solid working understanding of planogramming, space-aware assortment optimization, category management, and revenue growth management concepts, not purely generic ML background.
• Experience with document parsing and structured-data extraction from semi-structured sources (e.g., slides/PDFs).
• Familiarity with optimization techniques (constraint solvers/heuristics) relevant to space-aware assortment planning and hyper-local/store-level recommendations.
• SQL and data modeling experience.
• RESTful API design experience. Nice to Have
• Cloud AI platform experience (Azure AI Foundry, AWS Bedrock, GCP Vertex, or similar).
• Experience with high-volume analytical stores (e.g., ClickHouse). Required Qualifications
• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, or a related field.
• Relevant hands-on experience building applied LLM/agent systems or ML-driven products.

📌 Lead Software Engineer (India)
🏢 Vision Group Retail
📍 India