Xpengmotors

Senior Staff AI Engineer

Santa Clara, CA · Staff+ · Full-time

Sponsorship not specified$244k-$413kDetected 57 days ago

Machine LearningLLMsRAGAgentic AILeadershipCommunicationCollaboration

About the role

With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.
You will also define architecture and reusable patterns to enable AI adoption broadly, while setting a high bar for reliability, evaluation, and performance.
Our salary ranges are determined by role, level, and location.

Lead the technical design and hands-on development of prioritized AI applications, services, and platforms leveraging state-of-the-art LLM app stacks, retrieval-augmented generation, evaluation frameworks, and scalable serving.
Partner with business sponsors to translate high-value opportunities into roadmaps and shipped products with clear success metrics and measurable outcomes.
Build a holistic view of AI investments by collaborating with adjacent engineering groups implementing AI in their domains, aligning patterns, reusing components, and avoiding duplication.
Drive continuous improvement in AI methodologies and best practices; evaluate emerging capabilities and land them as secure, production-grade systems.
Collaborate with stakeholders to embed robust governance, privacy, security, safety, and reporting practices across the AI lifecycle.

10+ years of software engineering experience, with a proven track record delivering complex, production-grade systems.
Proven ability to establish feedback loops from production systems into evaluation and model improvement workflows.
Expertise in AI/LLM observability and tracing, including instrumentation of systems and analysis of trace data for performance, latency, and correctness (e.g., OpenTelemetry-based tools such as LangFuse or equivalent).
Experience architecting and deploying enterprise-scale AI systems or subsystems, with the ability to define technical direction, architecture, and reusable platform components across teams.
Experience working with and deploying open-source language models.
Deep expertise in at least one of the following areas:
Demonstrated ability to translate ambiguous problems into scalable AI systems with measurable impact.
Experience driving engineering standards, improving system reliability, observability, and performance (latency, throughput, cost).
Proven ability to learn and apply new technologies quickly through hands-on development.

Opportunity to work on cutting edge technologies with the top talent in the field.

This listing is sourced directly from Xpengmotors's careers page and normalized into a canonical job model.