Lead Gen AI Full Stack Engineer - eCommerce

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

About the Role:

• 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

• 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

We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.

• Bonus Program
• 401k Retirement Plan
• Medical, Dental, Vision, Basic Life, Short Term Disability and Long-Term Disability Coverage
• Paid Parental Leave
• Support for 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

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.

The starting pay range for this position is $135,910.00-$223,285.00. McAfee takes into consideration an individual's skillset, experience and location in making final salary determinations. For further details, please discuss with the Talent Acquisition Partner.

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.