Senior Python AI Engineer – Backend & LLM Systems

eBay

Nevada (IA)

On-site

USD 123,000 - 206,000

Full time

14 days+
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Job summary

Nexpart, an eBay company, seeks a Senior Python Engineer, AI to design, develop, and maintain scalable backend services and platform capabilities that support critical business workflows. You will build reliable APIs, integrate microservices, and improve system resilience with observable, scalable architectures.

Lead the backend design, collaborate with product and QA teams, and apply AI-powered tooling to boost productivity and delivery speed across automotive parts marketplaces.

Qualifications

  • 5+ years of professional Python development experience in production environments.
  • Strong experience building asynchronous, API-driven microservices (e.g., FastAPI, asyncio).
  • Solid understanding of scalable backend architectures and service-to-service integrations.
  • Experience with distributed systems patterns (queues, caching, pub/sub, background processing).
  • Strong understanding of REST APIs, authentication/authorization, and secure system design.

Responsibilities

  • Define technical requirements in partnership with product, business, and engineering stakeholders.
  • Design, develop, and maintain Python-based applications & services that power core platform workflows.
  • Build and integrate scalable APIs and microservices for internal and external consumers.
  • Own backend system design for service reliability, scalability, maintainability, and operational excellence.
  • Collaborate with cross-functional teams to deliver high-quality releases.

Skills

Python
Async microservices
APIs
Distributed systems
REST APIs
CI/CD
Git

Education

BA/BS in Computer Science or related field

Tools

FastAPI
Docker
Kubernetes

Job description

Nexpart, an eBay company, seeks a Senior Python Engineer, AI to design, develop, and maintain scalable backend services and platform capabilities that support critical business workflows. You will build reliable APIs, integrate microservices, and improve system resilience with observable, scalable architectures.

Lead the backend design, collaborate with product and QA teams, and apply AI-powered tooling to boost productivity and delivery speed across automotive parts marketplaces.

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