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Lead Full Stack AI Engineer (Agentic AI)

Anblicks

Lead Full Stack AI Engineer (Agentic AI) - 10+ Years (Onsite)

Role Summary

We 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 Responsibilities
  • Lead architecture design and end-to-end solution delivery with stakeholders
  • Own technical decisions, standards, and reference implementations
  • Develop full stack applications using React, Node.js, and Python
  • Design scalable APIs and backend services for enterprise applications
  • Implement micro-frontend architecture using Vite Module Federation
  • Define host/remote structure, shared dependencies, and deployment strategy
  • Enable single-origin application delivery using Nginx and routing patterns
  • Design and build Agentic AI solutions using RAG, LLMs, and chatbots
  • Develop prompt strategies and integrate AI services with enterprise APIs
  • Build reusable services, accelerators, and solution templates
  • Create library experiences for discoverable patterns from enterprise sources
  • Lead offshore team delivery, sprint planning, and engineering governance
  • Establish best practices across CI/CD, testing, release, and code quality
Required Skills & Experience
  • 10+ years of full stack engineering experience with delivery ownership
  • Expert in React, Node.js API, and Python development
  • Hands-on experience with RAG, LLMs, and chatbot implementations
  • Strong understanding of API design, integration, and authentication patterns
  • Experience with Module Federation (host, remotes, shared modules)
  • Experience with Nginx-based deployments and production-ready architectures
  • Strong stakeholder communication and onsite-offshore coordination
Nice to Have
  • Experience with agentic workflows and orchestration patterns
  • Exposure to enterprise AI tools and model selection considerations
  • Experience building internal portals or reusable architecture libraries
Working Model
  • Onsite engagement for architecture, stakeholder alignment, and leadership
  • Offshore team leadership for execution, delivery, and governance
Vacancy posted 16 hours ago
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