Experience: 8+ years - Own end-to-end delivery-scoping, sprint planning, quality gates, enterprise deployment - Make architecture decisions across modern AI/LLM stacks (RAG, vector search, agent pipelines) directly with engineering - Scale engineering teams without losing delivery quality - Convert early pilots into production-grade, market-validated products - Own client and stakeholder relationships, not just delivery tickets What you need: - 8–12 years combining hands-on engineering with product/delivery leadership - Strong in Python or any backend technologies cloud-native architecture (AWS, Docker, Kubernetes) - Direct experience with LLM APIs, LangChain, vector databases, RAG pipelines - Proven record scaling teams and shipping enterprise-grade products - Strong client-facing communication skills Skills: Python (or any Backend Technology), LLM, RAG, LangChain, AWS, Kubernetes, Delivery Management, Product Engineering, Technical Leadership