Lead Engineer – AIRI

EBay


Job Location:

Toronto - Canada

Monthly Salary: Not Disclosed
Posted on: 22 hours ago
Vacancies: 1 Vacancy

Job Summary

At eBay were more than a global ecommerce leader were changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. Were 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. Were 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.

Lead Engineer AI Research Innovation

eBay is seeking a dedicated highly skilled and technically hands-on Lead Engineer to join our AIRI division. This is a great opportunity to help lead a highly visible and strategically important AI engineering team at one of the most established and heavily trafficked ecommerce companies in the world.

In this role you will serve as both a senior technical contributor and a technical leader guiding a team of AI Engineers in the design development and deployment of scalable AI systems. You will help shape the technical direction of key AI initiatives mentor engineers drive architectural decisions and partner closely with Product Research Data Engineering and Software Engineering teams to deliver impactful AI-powered experiences across eBay.

About the Role

As a Lead AI Engineer you will work across the full AI lifecycle: from early experimentation and prototyping to the production deployment of reliable scalable and responsible AI systems that support millions of users.

Your focus will include Generative AI systems intelligent agents conversational AI and agent-based architectures. You will help define and implement the technical roadmap for AI initiatives while ensuring engineering excellence across the team.

This role requires a strong balance of hands-on technical depth and leadership ability. You will be expected to contribute directly to complex technical work while also guiding other Engineers establishing guidelines reviewing designs and helping the team make sound technical decisions.

Our systems handle billions of requests per day use large-scale GPU clusters and power key intelligent experiences across the eBay platform.

Responsibilities

  • Lead the design development and optimization of scalable AI systems using Generative AI LLMs and agent-based architectures.

  • Provide technical leadership to a team of AI Engineers helping guide architecture implementation delivery and operational excellence.

  • Lead the development of agent-led user experiences including systems that leverage task decomposition memory tool use dynamic planning and multi-agent orchestration.

  • Partner with Product Research Data Engineering and Software Engineering teams to translate business and user needs into effective AI system designs.

  • Drive architectural decisions for AI-powered products and platforms ensuring systems are reliable maintainable cost-effective and production-ready.

  • Mentor and coach Engineers through design reviews code reviews technical planning and hands-on problem solving.

  • Help advance eBays internal platform for GenAI applications by contributing reusable components APIs frameworks patterns and engineering guidelines.

  • Establish and promote guidelines for AI system evaluation observability model integration experimentation responsible AI and production monitoring.

  • Monitor and optimize AI systems in production for latency quality scalability reliability cost efficiency and responsible AI use.

  • Lead technical planning and execution for complex AI initiatives helping the team break down ambiguous problems into clear engineering work.

  • Stay ahead of the latest advances in AI machine learning LLMs AI agents retrieval-augmented generation and emerging tooling and apply a practical lens when integrating new technologies into the product stack.

  • Drive continuous improvement across design implementation evaluation deployment and operational processes based on experimentation data and team feedback.

  • Influence technical strategy across teams and help align engineering efforts with broader organizational goals.

Qualifications

  • 10 years of experience in software engineering machine learning engineering AI engineering or related technical roles.

  • 5 years of focused experience developing deploying and operating AI-centric or ML-powered systems in production environments.

  • 2 years of experience leading technical initiatives mentoring engineers or providing technical direction to engineering teams.

  • 2 years building agent-led systems including LLM-based agents autonomous workflows task-planning systems tool-using agents or multi-agent orchestration.

  • Proven success taking AI-powered products from prototype to production with a strong emphasis on maintainability scalability performance reliability and user impact.

  • Strong hands-on engineering skills with the ability to contribute directly to complex system design and implementation.

  • Strong programming skills in Java or similar JVM languages with working proficiency in Python and ML frameworks such as PyTorch Transformers and scikit-learn.

  • Experience designing and operating production-grade AI systems that serve high-volume real-world user traffic.

  • Experience with conversational AI concepts including intents entities dialogue flows actions user journeys and UX design considerations for interactive systems.

  • Hands-on experience with:

  • Spring Framework

  • Docker and Kubernetes

  • Large-scale data technologies such as Hadoop or Spark

  • Distributed systems and scalable backend services

  • UI/UX considerations in application development

  • Production monitoring observability and performance optimization

  • Strong understanding of AI system evaluation including quality measurement experimentation model behavior analysis and production feedback loops.

  • Ability to lead technical discussions evaluate tradeoffs and communicate complex AI concepts clearly to technical and non-technical collaborators.

Bonus Qualifications

  • Experience with C and CUDA for performance-critical AI or ML components.

  • Familiarity with streaming data systems such as Kafka Flink Beam or Storm.

  • Experience with retrieval-augmented generation vector databases embeddings semantic search and knowledge-grounded AI systems.

  • Knowledge of tool-use frameworks agent orchestration platforms multi-modal model integration and AI workflow automation.

  • Experience building internal AI platforms developer tools reusable AI services or shared ML infrastructure.

  • Prior experience leading or influencing a team of AI Engineers ML Engineers or Software Engineers in a fast-paced product environment.

  • Experience contributing to hiring onboarding mentoring or technical growth of engineering teams.

What We Look For

  • A technical leader with deep engineering expertise and the ability to guide a team through complex ambiguous technical challenges.

  • A hands-on builder who can lead by example contribute directly to critical technical work and raise the engineering bar for the team.

  • A strategic problem solver who can connect AI capabilities to product impact platform scalability and long-term technical direction.

  • An excellent communicator who can bridge the gap between Research Engineering Product and business collaborators.

  • A strong mentor who enjoys developing engineers sharing knowledge and creating a collaborative team culture.

  • A pragmatic innovator with deep curiosity and hands-on experimentation across the evolving AI agent and Generative AI ecosystem.

  • A strong advocate for responsible ethical reliable and user-centered AI systems.

  • A collaborative dedicated leader with genuine excitement to push the boundaries of what is possible with AI at eBay.

Additional Details

This job posting relates to an existing vacancy within eBay.

eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion national origin sex sexual orientation gender identity and disability or other legally protected you have a need that requires accommodation please contact us at. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBays commitment to ensuring digital accessibility.

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Required Experience:

IC

At eBay were more than a global ecommerce leader were changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. Were committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enth...

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Founded in 1995 in San Jose, Calif., eBay (NASDAQ: EBAY) is where the world goes to shop, sell and give. Whether you’re buying new or used, common or luxurious, trendy or rare – if it exists in the world, it’s probably for sale on eBay. Our great value and unique selection help every ... View more

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