Sr. Software Engineer, Agentic AI

eBay•Austin, TX

About The Position

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.