[Hiring] Senior Python Engineer @eBay

Role Description

We are seeking a Senior Python Engineer, AI to help design, develop, and maintain scalable backend services, integrations, and platform capabilities that support critical business workflows and ongoing product innovation.

• 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.

Applied AI/LLM Focus

• 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.

Qualifications

• 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.

Preferred Qualifications

• 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

• Build backend systems that support a global marketplace at scale.
• Work on high-impact platform capabilities that increasingly leverage LLM/AI/ML.
• Opportunity to influence technical direction and architecture.
• A culture that values innovation, ownership, and continuous learning.
• Competitive compensation and comprehensive benefits.