Note: The job is a remote job and is open to candidates in USA. eBay is a global ecommerce company that operates a marketplace connecting buyers and sellers worldwide. The Senior Python Engineer, AI will design, develop, and maintain scalable Python backend services, APIs, and microservices while improving platform reliability and performance. The role also focuses on productionizing LLM-enabled features, retrieval systems, AI evaluation frameworks, and responsible AI practices.
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
- Optimize performance using distributed technologies (e.g., caching, message queues, event-driven architectures)
- Implement robust observability (logging, tracing, metrics), troubleshoot production issues, and improve system resiliency
- Participate in code reviews as both a contributor and reviewer; contribute to engineering standards and best practices
- Collaborate closely with development, QA, and business teams to deliver high-quality releases
- Create and maintain system and technical documentation as needed
- Leverage AI-powered development tools to improve productivity, code quality, and delivery speed
- Build and productionalize LLM-enabled features (e.g., workflow automation, intelligent routing, summarization, extraction)
- Design tool/function-calling services and orchestration layers for multi-step tasks
- Implement RAG-style retrieval patterns (embeddings, vector search, ranking) where it improves reliability and accuracy
- Develop evaluation and quality frameworks for AI outputs (offline evals, regression tests, safety/reliability checks)
- Collaborate on responsible AI practices: guardrails, data handling, deterministic behaviors, and auditability
Skills
- 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 (golden datasets, regression testing, quality metrics)
- Exposure to ML concepts relevant to applied product systems (classification, extraction, ranking, personalization)
- Experience with real-time or conversational interfaces (chat and/or voice) and streaming systems
- Proficiency in Spanish (or other major marketplace languages) to help evaluate and validate multilingual AI outputs
- Experience supporting high-traffic, consumer-facing applications
Benefits
- Target bonus
- Restricted stock units (as applicable)
- Medical benefits
- Financial benefits
- Other benefits
- 401(k) eligibility
- Paid time off (PTO)
- Parental leave
- Remote work arrangement
Company Overview