Sr AI Engineer

eBay•San Jose, CA

4d•$196,800 - $262,700•Remote

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/Role We are seeking a highly skilled Senior AI Engineer to design and implement advanced agentic AI systems. In this role, you'll build production-ready AI agents that can reason across multiple steps You'll work with state of the art frameworks to create pipelines that combine LLM-based reasoning, knowledge grounding, and multi-agent orchestration. This is a high-impact role where you'll partner with product and engineering teams to design workflows into reliable, scalable agentic solutions for real-world use cases.

Requirements

Hands-on experience with multi-agent orchestration and supervisor patterns.
Knowledge of RAG pipelines, memory management, and evaluation of agent performance.
Experience designing custom evaluation metrics for reasoning steps, tool use correctness, and RAG pipeline performance.
Ability to balance automatic evaluation with human-in-the-loop evaluation for complex workflows.
Proficiency in Python and familiarity with backend cloud services.
Proficiency in developing backend services using Java (Spring / Spring Boot).
Experience with agentic architecture, including agent frameworks, tool-calling protocols and planning/execution patterns.
Knowledge of reinforcement learning, planning algorithms, or autonomous reasoning.
6+ years of hands-on experience in developing RESTful APIs, microservices, and Kubernetes operators, with an emphasis on testability, scalability, and maintainability.
Proven experience leading and contributing hands-on to AI/ML engineering and operations in large-scale production environments.
Deep understanding of AI model lifecycle management, distributed systems, and integration of applications powered by artificial intelligence into customer-facing platforms.
Develop and maintain highly scalable, efficient, performant & resilient capabilities, meeting availability targets of 99.99%.

Responsibilities

Build Agentic Systems – Implement multi-step reasoning agents. Retrieval-Augmented Generation (RAG), and integrations to tools, databases, and APIs.
Orchestrate & Optimize – Design supervisor/sub-agent patterns, enable coordination across agents, and apply best practices for robustness, performance, and scalability.
Deploy & Evolve – Deliver production-grade agentic AI workflows on cloud platforms, monitor and evaluate agent performance, and continuously fine-tune for quality and efficiency.
Develop scalable services that connect with multiple eBay systems, establishing standards for reliability, and operational excellence.