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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Gen AI Full Stack Engineer - eCommerce - **Company:** McAfee, Inc. - **Location:** Frisco, TX, United States - **Experience:** Expert - **Salary:** $135,910.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Big Data, Cloud Computing, Databases, Cursor (Graphical User Interface Elements), Software Debugging, Distributed Systems, Amazon DynamoDB, Apache Hadoop, Python (Programming Language), Node.Js, NoSQL, Next.js, Search Technologies, SQL Databases, TypeScript, Chatbots, GitHub Copilot, ReactJS, Large Language Models, Prompt Engineering, Apache Spark, Backend, Fastapi, Event Driven Architecture, Amazon Relational Database Service, Data Lakes, Apache Kafka, Api Design, Cloudwatch, Api Gateway, NestJS, Amazon Simple Queue Service (SQS), Microservices - **Published:** August 12, 2026 - **Apply:** https://dejobs.org/x/x/0D5E99E83DE94FF2B5F8AB417A740473/job/ ## About the Role * 9+ years of full-stack engineering with proven product ownership and large-scale production experience; 2+years shipping production LLM applications with measurable business impact (eCommerce domain experience is a plus) * Expert across modern full-stack: TypeScript, Node.js (NestJS), React 18, Next.js, Python (FastAPI),SQL/NoSQL databases, and big data ecosystem (Spark, Hadoop, Kafka, data lakes) * Strong cloud and infrastructure experience: distributed systems (microservices, event-driven architecture, API design), cloud-native AWS delivery with hands-on experience in Lambda, ECS/EKS, API Gateway, DynamoDB, RDS, S3, CloudWatch, SQS/SNS, and CI/CD pipelines * Deep GenAI experience: Claude, OpenAI, AWS Bedrock, LangGraph, RAG systems (vector search, reranking), prompt engineering, and evaluation - with hands-on use of AI coding tools (Claude Code, Cursor, GitHub Copilot) to ship at high velocity * Strong observability expertise - uses metrics, logs, and traces to understand complex distributed systems, identify bottlenecks, surface insights, and resolve production issues across the full stack ## Description Join our eCommerce Team as a Lead Gen AI Full Stack Engineer, owning the full stack end-to-end to design and ship production GenAI products on AWS that transform how engineering, operations, and business teams work -while improving eCommerce products and user experience for millions of customers. You'll build intelligent, real-time experiences by engineering the full stack - modern UIs, high-throughput backend services, RAG systems, and autonomous AI agents - on AWS with Claude, Bedrock, and the modern LLM ecosystem. Success requires rapidly understanding complex distributed systems, debugging across the stack, and shipping from prototype to production. This is a Hybrid position located at our Frisco, TX. You will be required to be on-site 2 to 3 days a week on a as needed basis; when you are not working on-site, you will work from your home office. You must be within commutable distance of Frisco, TX. We are not offering relocation assistance at this time, * Collaborate with business and engineering stakeholders to translate requirements into technical specifications and execute end-to-end delivery * Engineer the full stack: modern frontends and backend services for our eCommerce platform serving millions of customers, leveraging databases to deliver scalable, high-performance experiences * Work closely with senior leadership to drive architecture decisions and technical direction for GenAI initiatives - developing solutions that improve organizational productivity and customer experience * Design and ship production LLM products - conversational chatbots, AI summarization, operational copilots powered by RAG pipelines (vector search, reranking), and autonomous AI agents with tool orchestration and safety guardrails ## Related Videos - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Streaming AI Responses in Real-Time with SSE in Next.js & NestJS](https://www.wearedevelopers.com/videos/1630-streaming-ai-responses-in-real-time-with-sse-in-next-js-nestjs) - [Make it simple, using generative AI to accelerate learning](https://www.wearedevelopers.com/videos/969-make-it-simple-using-generative-ai-to-accelerate-learning) ## Related Articles - [Got AI ideas but no money? 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