Senior Python Engineer, AI
eBay · Remote, United States ·
- Work mode
- Remote
- Seniority
- Senior
- Category
- Software engineering
- Experience
- 5+ years
eBay · Remote, United States ·
At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.
Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.
WHI Solutions, Inc., an eBay company, operates Nexpart, a B2B marketplace built for professional automotive and truck parts businesses. Nexpart plays a critical role in helping customers efficiently source and purchase the parts they need to keep their operations running smoothly and serve their own customers with speed and confidence.
The Nexpart engineering team builds and evolves the technology behind this marketplace. 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.
We are seeking an engineer with strong Python backend experience and a track record of building reliable, scalable services. In this role, you will work with cross-functional partners to develop practical solutions that support critical workflows and improve the performance and resilience of the platform.
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
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
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
Additional Details
The base pay range for this position is expected in the range below:
$118,800 - $205,600Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
If hired, employees will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at [email protected]. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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