AI Native Technical Engineer

Who We Are

At , also known as JINGDONG, we are building one of the world’s most trusted technology and supply chain ecosystems. What started as a bold idea in China has evolved into a NASDAQ-listed, Fortune 44 global enterprise serving over 700 million active customers. Powered by advanced logistics, innovative technology, and a commitment to integrity,  operates across retail, logistics, technology, property and more, creating solutions that make everyday life smarter, faster, and more connected.

is expanding its international footprint through a digitally intelligent, cross-border supply chain and world-class logistics network, supported by platforms such as Joybuy, which brings trusted products to customers worldwide. Today, our teams operate across China, the U.S., U.K., Netherlands, France, Germany, Spain, Brazil, Hungary, Japan, South Korea, Australia, Thailand, Vietnam, Malaysia, Indonesia, Saudi Arabia, the UAE and beyond, reaching customers in every corner of the world.

Learn more about who we are and what we do:

Joining  means becoming part of a company where people, innovation, and impact go hand in hand. We offer a competitive salary, a great location, and a supportive, people‑first culture where your growth truly matters. With access to global projects, learning opportunities, and an inclusive environment that values every voice, you’ll have the space to shape the future with us.

You’ll be joining the  team, which values collaboration, ownership, and a commitment to delivering high‑quality results in a fast‑paced, dynamic environment.

JD Financial Technology is looking for a highly versatile, hands‑on AI Native Technical Lead / Staff Engineer to join our Silicon Valley team.

This role will support a strategic innovation initiative around ATO, an AI‑native project that connects intelligent agents, supply chain workflows, data systems, payment and settlement capabilities, and real‑world operational execution.

The ideal candidate is a rare hybrid talent:
strong in production engineering, data infrastructure, system operations, backend development, and AI application development. This person should be able to own real systems end‑to‑end, build prototypes quickly, operate production workflows reliably, and help senior leadership evaluate broader AI opportunities across JD Financial Technology.

This is not a narrow specialist role.
We are looking for a high‑agency builder who can work across engineering, data, AI, operations, product, and business strategy.

• 8+ years of hands‑on engineering experience in backend systems, data platforms, infrastructure, Dev Ops, or AI applications.
• Strong ability to build and operate real production systems, not just prototypes.
• Proficiency in at least one major backend language such as Python, Java, Go, or Type Script/Node.js.
• Strong ability with data systems such as SQL, data warehouses, data lakes, ETL/ELT pipelines, streaming systems, workflow orchestration, or analytics platforms. Have built from 0 to 1 in previous experience
• Practical experience with cloud infrastructure, APIs, monitoring, deployment, CI/CD, and production incident handling.
• Hands‑on experience building AI applications using LLM APIs, RAG, agents, prompt engineering, AI workflow tools, or model evaluation frameworks.
• Strong product and business judgment; able to understand ambiguous business goals and translate them into technical execution plans.
• Comfortable working in a fast‑moving, ambiguous, cross‑border environment with both China and US teams.
• Excellent communication skills in English;
  Mandarin Chinese is strongly preferred.

At , we’re committed to building a diverse and inclusive workplace where everyone can thrive. We’re proud to be an equal opportunity employer and make all employment decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, veteran status, or any other protected characteristic.

Take the next step in your career, apply now and explore the opportunities we have to offer.