Senior Python Engineer, AI

🕒 vor 6 Monaten

🌵 Arizona, Colorado, +4 weitere Bundesländer – Remote

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💵 $118.800 - $205.600 / Jahr

⏰ Vollzeit

🟠 Senior

🔙 Backend-Entwickler

🦅 H1B-Visum-Sponsor

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👻 Geisterscore 45%

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🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of eBay

eBay

10.000+ Mitarbeiter

Gegründet 1995

🛍️ eCommerce

👥 B2C

🏪 Marktplatz

💰 Post-IPO Debt im 2022-11

eCommerce • B2C • Marketplace

eBay ist ein globaler eCommerce-Marktplatz, der es Einzelpersonen und Unternehmen ermöglicht, eine Vielzahl von Waren und Dienstleistungen online zu kaufen und zu verkaufen. Seit seiner Gründung im Jahr 1995 bietet eBay eine Plattform sowohl für Auktionen als auch für Festpreisangebote, was es zu einem Anlaufpunkt für Käufer macht, die nach einzigartigen Artikeln suchen. Das Engagement für die Benutzererfahrung umfasst Funktionen, die das Browsen verbessern, die Personalisierung von Inhalten unterstützen und Verkäufern Werkzeuge bieten, um ihre Marktpräsenz zu stärken.

Beschreibung

• 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

🎯 Anforderungen

• 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

🏖️ Vorteile

• 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

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