About The Position

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. About the team and role: We are the Customer Service Technology (CS Tech) organization at eBay! We are building the next generation of agentic AI systems that empower millions of buyers and sellers worldwide. Our vision is to deliver intelligent, autonomous help experiences that resolve customer issues end-to-end, grounded in policy, connected to eBay’s data, and designed with trust, safety, and human fallback in mind. We are creating a scalable multi-agent platform that combines LLM reasoning, knowledge retrieval, orchestration, backend integrations, workflow automation, and modern engineering practices across a hybrid architecture of Node.js services, Java applications, Muse UI plugins, and Python-based ingestion pipelines. If you are excited about building intelligent systems that take real actions, integrate with complex services, and shape how customers interact with eBay, this is the team for you.

Requirements

  • 7+ years of software development experience with strong CS fundamentals and distributed systems expertise.
  • Proficiency in developing backend services using Node.js/TypeScript and Java (Spring / Spring Boot).
  • Experience in crafting and scaling microservices, APIs, and workflow orchestration.
  • Hands-on experience with Open AI SDK’s, LLMs, proficiency with session/context storage systems (e.g., NuDocument/NuKV), embeddings, and RAG; strong data modeling and integration with internal/external APIs.
  • Skilled in CI/CD, Git, Docker, and Kubernetes, emphasizing secure coding and operational excellence.
  • Experience with agentic architecture, including agent frameworks, tool-calling protocols and planning/execution patterns.

Responsibilities

  • Design and build agentic AI capabilities for a core help domain, including multi-step reasoning, tool calling, state management, and safe automation.
  • Standardize service interaction patterns across Node.js/TypeScript, Java/Spring Boot, modern web UI frameworks, micro frontend web applications, and Python data pipelines, ensuring industry standard quality.
  • Implement and optimize retrieval-augmented generation (RAG) and fine-tuned LLM workflows grounded in policy and transaction data.
  • Develop scalable services that connect with multiple eBay systems, establishing standards for observability, reliability, and operational excellence.
  • Define guardrails, fallback logic, and safety patterns to ensure alignment to compliance, privacy, and auditability.
  • Partner with multi-functional teams to define agent behavior, success metrics, and continuous improvement loops and mentor engineers through reviews, documentation, technical mentorship, and pair programming.

Benefits

  • medical
  • financial
  • 401(k) eligibility
  • paid time off benefits
  • PTO
  • parental leave
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