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Lead Full Stack AI Engineer (Agentic AI)

AnblicksDallas, TXMay 28th, 2026
Lead Full Stack AI Engineer (Agentic AI) — 10+ Years (Onsite)Role SummaryWe are seeking a Lead Full Stack AI Engineer with 10+ years of experience and strong hands-on expertise in React, Node.js, Python, and AI/ML technologies (RAG, LLMs, chatbots). The role requires building scalable full stack solutions, designing AI-driven capabilities, and leading delivery while working onsite with stakeholders and coordinating offshore teams.Key ResponsibilitiesLead architecture design and end-to-end solution delivery with stakeholdersOwn technical decisions, standards, and reference implementationsDevelop full stack applications using React, Node.js, and PythonDesign scalable APIs and backend services for enterprise applicationsImplement micro-frontend architecture using Vite Module FederationDefine host/remote structure, shared dependencies, and deployment strategyEnable single-origin application delivery using Nginx and routing patternsDesign and build Agentic AI solutions using RAG, LLMs, and chatbotsDevelop prompt strategies and integrate AI services with enterprise APIsBuild reusable services, accelerators, and solution templatesCreate library experiences for discoverable patterns from enterprise sourcesLead offshore team delivery, sprint planning, and engineering governanceEstablish best practices across CI/CD, testing, release, and code qualityRequired Skills & Experience10+ years of full stack engineering experience with delivery ownershipExpert in React, Node.js API, and Python developmentHands-on experience with RAG, LLMs, and chatbot implementationsStrong understanding of API design, integration, and authentication patternsExperience with Module Federation (host, remotes, shared modules)Experience with Nginx-based deployments and production-ready architecturesStrong stakeholder communication and onsite-offshore coordinationNice to HaveExperience with agentic workflows and orchestration patternsExposure to enterprise AI tools and model selection considerationsExperience building internal portals or reusable architecture librariesWorking ModelOnsite engagement for architecture, stakeholder alignment, and leadershipOffshore team leadership for execution, delivery, and governance