eBay Logo

eBay

Backend Software Engineer, AI Platform

Posted 4 Days Ago
Be an Early Applicant
In-Office
Dublin, IRL
Mid level
In-Office
Dublin, IRL
Mid level
Design, implement, and maintain backend services and APIs for real-time and batch decisioning; integrate ML/LLM-driven components (inference, feature computation, policy orchestration); productionize models with data scientists; enable safe deployment (A/B, canary); extend rules/config framework for non-developer policy authoring; collaborate with product and partner teams; participate in code reviews, architecture, and on-call ownership.
The summary above was generated by AI

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.

The DEX team builds eBay’s Decisioning & Execution Engine, the platform that powers automated decisions and guided judgment for Customer Service and risk workflows across online and batch channels. We provide an intuitive rules and model-based engine that evaluates billions of evaluations per year, orchestrating actions for multiple internal clients and tools.

We’re looking for a full-time software developer who will help evolve DEX into a more AI-native decisioning platform, integrating machine learning models, LLMs, and experimentation into our core flows.

What you’ll do

  • Design, implement, and maintain backend services and APIs that power DEX decisioning in both real-time and batch modes.

  • Build and integrate ML- and LLM-driven decisioning components (e.g., model inference, feature computation, policy orchestration) into existing rules flows.

  • Collaborate with data scientists and rule analysts to productionize models, define interfaces, and deploy decision logic safely at scale (including A/B and canary rollouts).

  • Extend our rules and configuration framework so that policy and operations teams can safely author, test, and deploy sophisticated decisions without code changes.

  • Partner with product and partner teams (e.g., Customer Support, Risk, Trust, Billing, Returns) to translate business policies into robust, measurable technical solutions.

  • Participate in code reviews, architecture discussions, and on-call for the services you own.

You are

  • A backend engineer with strong experience in at least one strongly typed language (e.g. C#, Java or similar) and building distributed services in production.

  • Comfortable working with SQL datastores, designing schemas, and writing performant queries for high-volume flows.

  • Experienced with AI/ML in production – e.g., integrating models behind APIs, working with feature pipelines, or building inference services (Python, model-serving frameworks, etc.).

  • Familiar with (or eager to learn) LLM-based applications: prompt design, retrieval-augmented workflows, guardrails, and human-in-the-loop feedback.

  • Strong in systems thinking: you care about latency, throughput, resilience, and the blast radius of changes in high-volume decision systems.

  • Comfortable working in a highly collaborative environment with product managers, analysts, and operations partners, and explaining complex technical concepts in clear language.

Basic qualifications

  • BS in Computer Science, Engineering, or equivalent practical experience.

  • 4+ years of software development experience (or equivalent), with a focus on backend or platform engineering.

  • Experience building and owning production services (REST/JSON or gRPC) and working in CI/CD environments.

  • Experience with at least one cloud or large-scale infrastructure environment.

  • Demonstrated experience integrating machine learning or advanced analytics into user- or system-facing products.

Preferred qualifications

  • Experience with decisioning/rules engines, workflow engines, or policy automation platforms.

  • Hands-on experience with ML/AI contexts (data pipelines, model training, evaluation, or inference).

  • Experience with LLM frameworks (e.g., LangChain, semantic search, RAG) or prior work on AI assistants for internal tools.

  • Familiarity with customer service, risk, or trust & safety domains.

  • Experience in high-availability, multi-region services and designing for resilience, monitoring, and alerting.

Why this role

This is an opportunity to shape the next generation of eBay’s decisioning platform, bringing together rules, ML, and LLMs to drive better automation, guidance, and outcomes for customers and teammates. You’ll work on a critical, high-visibility system with strong business impact and a team that invests deeply in quality, safety, and innovation.

Additional Details

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, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at [email protected]. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.


We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice, Privacy Center, and AI Hiring Guidelines.

Similar Jobs

An Hour Ago
Hybrid
Dublin, IRL
Expert/Leader
Expert/Leader
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead development and scaling of advanced analytics, reporting, and AI-driven solutions for risk adjustment. Analyze complex datasets, validate data pipelines, design integration and monitoring processes, ensure data quality and compliance, and influence stakeholders to operationalize analytic insights.
Top Skills: AIAutomationData IntegrationData WarehouseDatabricksETLMonitoring ToolsNoSQLPythonSQL
An Hour Ago
Hybrid
Dublin, IRL
Senior level
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead design and deliver scalable full-stack AI-enabled backend services and APIs, architect microservice platforms (Node.js/TypeScript, Python, Java), integrate with EHRs using FHIR, build AI/LLM pipelines and vector DB integrations, enforce PHI/security/compliance, implement IaC and CI/CD, and mentor/lead engineering teams across product, data science, and platform stakeholders.
Top Skills: AksAngularAPIsAWSAzureCi/CdDockerFhirGitHl7JavaJwtKubernetesMicroservicesNode.jsPythonReactSAMLSpring BootSsoTypescriptVector Databases
An Hour Ago
Hybrid
Dublin, IRL
Mid level
Mid level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design, build, and maintain scalable ETL/ELT data pipelines, integrate and transform diverse data sources, enforce governance and quality, monitor systems, and collaborate with analytics and business teams to support healthcare cost and outcomes analysis.
Top Skills: Ci/CdData LakeData WarehouseDatabricksGitJavaPythonScalaSnowflakeSQL

What you need to know about the Dublin Tech Scene

From Bono and Oscar Wilde to today's tech leaders, Dublin has always attracted trailblazers, with more than 70,000 people working in the city's expanding digital sector. Continuing its legacy of drawing pioneers, the city is advancing rapidly. Ireland is now ranked as one of the top tech clusters in the region and the number one destination for digital companies, with the highest hiring intention of any region across all sectors.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account