> Markdown version of [/jobs/ext/1733219-sr-ai-engineer](https://www.wearedevelopers.com/jobs/ext/1733219-sr-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr AI Engineer - **Company:** eBay - **Location:** San Jose, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $196,800.0 - $262,700.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Application Integration Architecture, Databases, Distributed Systems, Memory Management, Python (Programming Language), Machine Learning, Cloud Services, Reinforcement Learning, Large Language Models, Multi-Agent Systems, Spring-boot, Generative AI, Backend, Kubernetes, Restful APIs, Microservices - **Published:** July 15, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=9db09e2d45574c55 ## About the Role * 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%. ## Description 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. What will you accomplish: * 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. ## Related Videos - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) - [AI Agents & Agentic AI](https://www.wearedevelopers.com/videos/2017-ai-agents-agentic-ai) ## Related Articles - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)