Hiring: Lead Gen AI Full Stack Engineer – eCommerce Company: McAfee Location: Frisco, TX Job Posted Time: 2026-09-10 12:18:13 Employment Type: Hybrid Target Skills & Keywords : API Design, API Gateway, AWS, CI/CD, CloudWatch, DynamoDB, ECS, EKS, Event-Driven, FastAPI, GitHub, Hadoop, Kafka, LLM, Lambda, Microservices, NestJS, Next.js, Node.js, Python, RAG, RDS, React, S3, SNS, SQL, SQS, Spark, TypeScript, User Experience About the job Experience: •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) Required Skills: •Partner cross-functionally 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 Qualifications: •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 •McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users’ needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!