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About the Role

eBay is seeking a skilled Full Stack Engineer (MTS 1) to join their AIRI division. This role involves building production-quality AI features, services, integrations, and platform components that power intelligent experiences across eBay's ecommerce platform. It's an individual contributor position for a senior engineer focused on hands-on building, solving practical AI engineering problems, and transforming ideas into reliable production systems.

Responsibilities

Contribute across the AI development lifecycle, including experimentation, prototyping, implementation, evaluation, production deployment, monitoring, and iteration.
Work on Generative AI applications, LLM integrations, conversational AI, retrieval-augmented generation, agent workflows, AI evaluation, and scalable backend services.
Build systems that are reliable, maintainable, measurable, and ready for production use.
Design, develop, test, and deploy AI-powered features, services, APIs, and platform components.
Build and integrate systems using Generative AI, LLMs, retrieval-augmented generation, conversational AI, and agent-based patterns.
Implement components for agent-led workflows, including tool use, memory, retrieval, task planning, and response generation.
Collaborate with engineers and technical leads on system design, implementation plans, technical tradeoffs, and operational readiness.
Partner with Product, Research, Data Engineering, and Software Engineering teams to understand requirements and deliver practical AI solutions.
Build backend services, orchestration layers, evaluation pipelines, model integration services, and observability features.
Participate in design reviews, code reviews, debugging sessions, and production readiness discussions.
Contribute to reusable components, APIs, shared libraries, documentation, and engineering guidelines for GenAI applications.
Implement evaluation and experimentation workflows to measure AI system quality, model behavior, latency, reliability, and user impact.
Monitor and troubleshoot production AI systems, including latency, errors, quality regressions, cost, and operational issues.
Improve system quality through testing, documentation, performance tuning, observability, and maintainability improvements.
Stay current with practical developments in AI, LLMs, agent frameworks, retrieval systems, and ML engineering tools.
Mentor junior engineers through code reviews, implementation guidance, documentation, and knowledge sharing.

Requirements

5+ years of experience in software engineering, machine learning engineering, AI engineering, or related technical roles.
2+ years of experience developing, deploying, or supporting AI-centric, ML-powered, data-driven, or intelligent software systems.
Hands-on experience building or integrating Generative AI, LLM-based applications, retrieval-augmented generation, conversational AI, or agent workflows.
Strong programming skills in Java or similar JVM languages, with working proficiency in Python.
Experience with ML or AI development tools and frameworks such as PyTorch, Transformers, scikit-learn, LangChain-style orchestration, or similar technologies.
Experience building production backend services, APIs, distributed systems, or data-driven applications.
Full-stack mindset with the ability or willingness to contribute to front-end development using modern web technologies; expertise in a specific front-end framework is not required.
Working knowledge of AI system evaluation, including quality metrics, test sets, experimentation, model behavior analysis, and production feedback loops.
Hands-on experience with Spring Framework or Spring Boot.
Hands-on experience with Docker and Kubernetes.
Hands-on experience with RESTful APIs and scalable backend services.
Hands-on experience with large-scale data technologies such as Hadoop, Spark, or equivalent systems.
Hands-on experience with CI/CD, automated testing, monitoring, and observability.
Ability to debug production issues, analyze system behavior, and improve reliability, latency, and maintainability.
Strong communication skills and the ability to work effectively with engineering, research, product, and data partners.
Experience with agent-led systems, tool-using agents, autonomous workflows, task-planning systems, or multi-agent orchestration.
Experience with vector databases, embeddings, semantic search, retrieval-augmented generation, and knowledge-grounded AI systems.
Familiarity with streaming data systems such as Kafka, Flink, Beam, or Storm.
Experience with conversational AI concepts such as intents, entities, dialogue flows, actions, and user journeys.
Experience building high-traffic ecommerce, marketplace, search, personalization, recommendations, trust, ads, or customer-support systems.
Experience contributing to internal platforms, shared AI infrastructure, developer tools, evaluation frameworks, or reusable services.
Familiarity with responsible AI practices, safety evaluation, model monitoring, and production governance.

Skills

Java
Python
PyTorch
Transformers
scikit-learn
LangChain-style orchestration
Spring Framework
Spring Boot
Docker
Kubernetes
RESTful APIs
Hadoop
Spark
CI/CD
Automated testing
Monitoring
Observability
Generative AI
LLMs
Conversational AI
Retrieval-augmented generation
Agent workflows
Backend services
APIs
Distributed systems
Data-driven applications
Full-stack development
Front-end development
AI system evaluation
Agent-led systems
Vector databases
Embeddings
Semantic search
Streaming data systems
Kafka
Flink
Beam
Storm
Ecommerce
Marketplace
Search
Personalization
Recommendations
Trust
Ads
Customer support
AI infrastructure
Developer tools
Evaluation frameworks
Responsible AI

Location

Remote

Work Type

Full-time

Experience Level

MTS 1
Senior engineer

Salary/Compensations

C$142,400 - C$190,100

Benefits

Target bonus
Restricted stock units
Full range of medical benefits
Full range of financial benefits
RRSP eligibility
Various paid time off benefits
PTO
Parental leave

About the Company

eBay is a global ecommerce leader changing the way the world shops and sells.
Their platform empowers millions of buyers and sellers in over 190 markets.
They are committed to pushing boundaries and reinventing the future of ecommerce for enthusiasts.
Their values include customer focus, authenticity, welcoming bold ideas, and encouraging individuals to bring their unique selves to work.
They aim to sustain the future of customers, the company, and the planet.
They are a team of passionate thinkers, innovators, and dreamers connecting people and building communities to create economic opportunity for all.

Equal Opportunity

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 status.
If you have a need that requires accommodation, please contact us at talent@ebay.com.
They will make every effort to respond to your request for accommodation as soon as possible.
View their accessibility statement to learn more about eBay's commitment to ensuring digital accessibility.