Senior Python Engineer, AI

🕒 April 18

🌵 Arizona, Colorado, +4 more states – Remote

🌵 Arizona – Remote ⛰️ Colorado – Remote 🎰 Nevada – Remote 🌶️ New Mexico – Remote 🌲 Oregon – Remote ☕ Washington – Remote

💵 $118.8k - $205.6k / year

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 45%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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eBay

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1995

🛍️ eCommerce

👥 B2C

🏪 Marketplace

💰 Post-IPO Debt on 2022-11

eCommerce • B2C • Marketplace

eBay is a global eCommerce marketplace that allows individuals and businesses to buy and sell a wide variety of goods and services online. Founded in 1995, eBay provides a platform for auction-style sales as well as fixed-price listings, making it a go-to destination for shoppers looking for unique items. Its commitment to user experience includes features that enhance browsing, personalization of content, and seller tools to improve their market presence.

📋 Description

• Define technical requirements with product, business, and engineering stakeholders • Design, develop, and maintain Python-based applications and services powering core platform workflows • Build and integrate scalable APIs and microservices for internal and external consumers • Own backend system design for reliability, scalability, maintainability, and operational excellence • Optimize performance using caching, message queues, and event-driven architectures • Implement observability through logging, tracing, and metrics • Troubleshoot production issues and improve system resiliency • Participate in code reviews and contribute to engineering standards and best practices • Collaborate with development, QA, and business teams to deliver high-quality releases • Create and maintain system and technical documentation • Leverage AI-powered development tools to improve productivity, code quality, and delivery speed • Build and productionalize LLM-enabled features such as workflow automation, intelligent routing, summarization, and extraction • Design tool/function-calling services and orchestration layers for multi-step tasks • Implement RAG-style retrieval patterns using embeddings, vector search, and ranking • Develop evaluation and quality frameworks for AI outputs • Collaborate on responsible AI practices, including guardrails, data handling, deterministic behaviors, and auditability

🎯 Requirements

• BA/BS in Computer Science or a related field, or equivalent practical experience • 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 • Experience with CI/CD pipelines and containerized deployment workflows • Strong familiarity with Git and modern version control workflows • Excellent English communication skills, both written and verbal • Ability to work effectively in cross-functional, fast-paced environments • Experience integrating LLM APIs in production and building robust, testable AI-enabled services • Familiarity with prompt design, structured outputs, tool/function calling, and conversation/workflow state management • Experience with embeddings, vector databases, retrieval pipelines, and/or ranking approaches • Experience building AI evaluation harnesses, including golden datasets, regression testing, and quality metrics • Exposure to ML concepts relevant to applied product systems, including classification, extraction, ranking, and personalization • Experience with real-time or conversational interfaces and streaming systems • Proficiency in Spanish or other major marketplace languages is preferred • Experience supporting high-traffic, consumer-facing applications • Remote roles are not eligible for U.S. visa sponsorship

🏖️ Benefits

• Competitive compensation • Comprehensive medical, financial, and other benefits • 401(k) eligibility • Paid time off (PTO) • Parental leave • Target bonus • Restricted stock units (as applicable) • Opportunity to influence technical direction and architecture • Culture valuing innovation, ownership, and continuous learning