Senior Python Engineer, AI

🕒 Abril 18

🌵 Arizona, Colorado, +4 estados a mais – Remoto

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

💵 $118.800 - $205.600 / ano

⏰ Tempo Integral

🟠 Sênior

🔙 Engenheiro Backend

🦅 Patrocina Visto H1B

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👻 Score fantasma 45%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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eBay

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1995

🛍️ Comércio Eletrônico

👥 B2C

🏪 Marketplace

💰 Post-IPO Debt em 2022-11

eCommerce • B2C • Marketplace

O eBay é um mercado global de comércio eletrônico que permite que indivíduos e empresas comprem e vendam uma ampla variedade de bens e serviços online. Fundado em 1995, o eBay oferece uma plataforma para vendas em estilo de leilão, bem como listagens a preço fixo, tornando-se um destino ideal para clientes que buscam itens únicos. Seu compromisso com a experiência do usuário inclui recursos que aprimoram a navegação, personalização de conteúdo e ferramentas para vendedores melhorarem sua presença no mercado.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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