Job Description
Role Overview:
Join our eCommerce Team as a Lead Gen AI Full Stack, 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. Building intelligent, real-time experiences by engineering the full stack modern UIs, high-through put 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 Bangalore, India development center. You will be required to be on-site 2 to 3 days per week. When you are not working on-site, you will be working from your home office. We are only considering candidates within a commutable distance to our Bangalore office and 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.
About You
- 8 to 12 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 and 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.
#LI-Hybrid
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.
Company Benefits and Perks:
We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We’re proud to be Great Place to Work® Certified in 10 countries, a reflection of the supportive, empowering environment we’ve built where people feel seen, valued, and energized to reach their full potential and thrive.
We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.
- Bonus Program
- Pension and Retirement Plans
- Medical, Dental and Vision Coverage
- Paid Time Off
- Paid Parental Leave
- Support for Community Involvement
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.