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$244,140 – $413,160
Listed on XPeng’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
XPENG is seeking a hands-on Senior Staff AI Engineer to design and deploy production-grade AI systems that leverage large language models, retrieval-augmented generation, and agentic workflows across the organization. The role suits experienced AI systems engineers who can architect reusable patterns, establish best practices, and drive AI adoption while partnering with product and engineering teams to deliver measurable impact.
Our summary, not XPeng’s wording. The full posting is on their site.
Skills this role names
- Embeddings
- Machine Learning
- Model Context Protocol (MCP)
- OpenTelemetry
- Python
- Retrieval-Augmented Generation
- Software Architecture
- Tool Calling
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What they ask for
Required
- BS/MS/PhD in Computer Science or equivalent experience
- 10+ years of software engineering experience with production-grade systems
- Deep hands-on expertise in AI/ML with language models, RAG, embeddings, and evaluation frameworks
- Hands-on experience building and scaling agentic AI systems in production
- Strong experience designing and implementing evaluation systems including LLM-as-Judge and benchmarking
- Ability to establish feedback loops from production systems into evaluation and model improvement
- Expertise in AI/LLM observability and tracing using tools like OpenTelemetry or LangFuse
- Experience architecting enterprise-scale AI systems and defining technical direction across teams
- Deep expertise in agent memory systems, AI gateways/tool orchestration, or agentic workflows and orchestration
- Ability to translate ambiguous problems into scalable AI systems with measurable impact
- Experience driving engineering standards for reliability, observability, and performance
- Strong familiarity with security, privacy, compliance, safety, and auditability in enterprise AI systems
- Excellent cross-functional communication and collaboration skills
Nice to have
- Experience building custom evaluation harnesses or contributing to open-source evaluation frameworks
- Contributions to widely used third-party benchmarks or evaluation suites
- Hands-on experience developing and evaluating coding agents or code-generation systems
- Experience working with and deploying open-source language models