Full stack Engineer MTS 1 - AIRI - eBay

JOB DESCRIPTION

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

Full stack Engineer, AI Research, Innovation (MTS 1)

eBay is seeking a skilled, motivated, and hands-on Full Stack Engineer (MTS 1) to join our AIRI division. This is an opportunity to build production-quality AI features, services, integrations, and platform components that power intelligent experiences across one of the world’s largest ecommerce platforms.

This is an individual contributor role for a strong senior engineer who enjoys hands-on building, solving practical AI engineering problems, and turning ideas into reliable production systems. We are looking for someone with a full-stack mindset: strong backend engineering depth, comfort working across the stack, and the ability or willingness to contribute to front-end experiences as needed, without requiring expertise in any specific front-end framework.

In this role, you will partner closely with senior technical leads, Product, Research, Data Engineering, and Software Engineering teams. You will be expected to demonstrate technical ownership, contribute to design discussions and reviews, support code reviews, and mentor less experienced engineers where appropriate.

About the team and the role:

As a Full Stack Engineer (MTS 1), you will contribute across the AI development lifecycle, including experimentation, prototyping, implementation, evaluation, production deployment, monitoring, and iteration.

Your work will span Generative AI applications, LLM integrations, conversational AI, retrieval-augmented generation, agent workflows, AI evaluation, and scalable backend services. You will help build systems that are reliable, maintainable, measurable, and ready for production use.

What you will accomplish:

Design, develop, test, and deploy AI-powered features, services, APIs, and platform components.

Build and integrate systems using Generative AI, LLMs, retrieval-augmented generation, conversational AI, and agent-based patterns.

Implement components for agent-led workflows, including tool use, memory, retrieval, task planning, and response generation.

Collaborate with engineers and technical leads on system design, implementation plans, technical tradeoffs, and operational readiness.