Lead Gen AI Full Stack Engineer – eCommerce

McAfee; Frisco (TX); Hybrid; USD 135,910 - 223,285; Full time

Benefits offered by this job

Bonus Program

401k Retirement

Medical, Dental, Vision

Parental Leave

Community Involvement

14 Paid Company Holidays

Unlimited Paid Time Off for Exempt

Sick/Vacation accrual

Job summary

McAfee in Frisco, TX is seeking a Lead Gen AI Full Stack Engineer to own the end-to-end development of production GenAI products on AWS. You will build modern UIs, high-throughput services, and AI copilots that improve eCommerce experiences for millions of customers.

This hybrid role requires on-site 2-3 days a week, with remote work when possible. You will collaborate with stakeholders, shape architecture for GenAI initiatives, and ship LLM-powered solutions using Claude, Bedrock, and other

Qualifications

• 9+ years of full-stack engineering with production experience.
• 2+ years shipping production LLM applications with measurable business impact (eCommerce domain experience is a plus).

Responsibilities

• 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

Skills

Full-stack engineering

LLM application development

Frontend development

Backend services

Observability

Tools

NestJS

React

Next.js

FastAPI

Python

SQL/NoSQL

AWS services

Lambda/ECS/EKS

Job description

Role Summary

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.

About The Role

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 an 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

About You

• 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

Company Overview

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.

We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

Company Benefits And Perks

• Bonus Program
• 401k Retirement
• Medical, Dental, Vision, Basic Life, Short Term Disability and Long-Term Disability Coverage
• Paid Parental Leave
• Support and Community Involvement
• 14 Paid Company Holidays
• Unlimited Paid Time Off for Exempt Employees
• 96 Hours of Sick Time and 120 Hours of Vacation for Non-Exempt Employees Accrued Each Year

Pay Range

The anticipated compensation for this position is USD $135,910.00/Yr. - USD $223,285.00/Yr. depending on experience and qualifications.

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