Full stack Engineer MTS 1 – AIRI

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Full stack Engineer AI Research Innovation (MTS 1)

eBay is seeking a skilled motivated and hands-on Full Stack Engineer (MTS 1) to join our AIRI division. This is an opportunity to build production-quality AI features services integrations and platform components that power intelligent experiences across one of the worlds largest ecommerce platforms.

This is an individual contributor role for a strong senior engineer who enjoys hands-on building solving practical AI engineering problems and turning ideas into reliable production systems. We are looking for someone with a full-stack mindset: strong backend engineering depth comfort working across the stack and the ability or willingness to contribute to front-end experiences as needed without requiring expertise in any specific front-end framework.

In this role you will partner closely with senior technical leads Product Research Data Engineering and Software Engineering teams. You will be expected to demonstrate technical ownership contribute to design discussions and reviews support code reviews and mentor less experienced engineers where appropriate.

About the team and the role:

As a Full Stack Engineer (MTS 1) you will contribute across the AI development lifecycle including experimentation prototyping implementation evaluation production deployment monitoring and iteration.

Your work will span Generative AI applications LLM integrations conversational AI retrieval-augmented generation agent workflows AI evaluation and scalable backend services. You will help build systems that are reliable maintainable measurable and ready for production use.

What you will accomplish:

• 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.

What you will bring:

• 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

  • Docker and Kubernetes

  • RESTful APIs and scalable backend services

  • Large-scale data technologies such as Hadoop Spark or equivalent systems

  • 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.

Bonus Qualifications

• 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.

Additional Details

The base pay range for this position is expected in the range below:

Base pay offered may vary depending on multiple individualized factors including location skills and experience. The total compensation package for this position may also include other elements including a target bonus and restricted stock units (as applicable) in addition to a full range of medical financial and/or other benefits (including RRSP eligibility various paid time off benefits such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

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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