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    Home/Jobs/Senior Python Engineer, AI

    Senior Python Engineer, AI

    eBay

    United States
    5+ years
    Today
    ₹99–171 LPA
    Full-time
    Remote

    Skills Required

    LLM
    RAG
    Retrieval pipelines
    Vector Database
    Embeddings
    Python
    FastAPI
    asyncio
    Microservices
    Distributed systems
    REST API
    Authentication
    Authorization
    CI/CD pipelines
    Containerized deployment

    Description

    Join eBay's Nexpart engineering team as a Senior Python Engineer, AI to design, develop, and maintain scalable backend services, integrations, and platform capabilities that support critical business workflows and ongoing product innovation.

    Company: eBay

    Role: Senior Python Engineer, AI

    Location: Remote, United States

    Experience:

    • 5+ years of professional Python development experience in production environments
    • Experience building asynchronous, API-driven microservices (e.g., FastAPI, asyncio)
    • Experience with distributed systems patterns (queues, caching, pub/sub, background processing)
    • Experience with CI/CD pipelines and containerized deployment workflows
    • Experience with Git and modern version control workflows

    Key Skills:

    • Python
    • AI
    • LLM
    • FastAPI
    • asyncio
    • Distributed systems
    • REST APIs
    • Authentication/authorization
    • Secure system design
    • CI/CD pipelines
    • Containerized deployment
    • Git

    Qualification:

    • BA/BS in Computer Science or a related field, or equivalent practical experience
    • Excellent English communication skills, both written and verbal
    • Ability to work effectively in cross-functional, fast-paced environments

    Role Focus:

    • 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

    Nice to have:

    • 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

    Other:

    • Competitive compensation and comprehensive benefits
    • Base pay range: $118,800 - $205,600
    • Opportunity to influence technical direction and architecture
    • A culture that values innovation, ownership, and continuous learning

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

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    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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