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Senior Staff AI Engineer

Xpengmotors

Location
Santa Clara, US
Posted
1mo ago
EngineeringSoftware SystemsOperations Execution

About this role

<div data-page-id="TlgzdweAoorcvgxnmU8ci6FKnye" data-lark-html-role="root" data-docx-has-block-data="false"> <div class="ace-line ace-line old-record-id-TdaCdnylEo4J28xTrXvc4m9NnVc"><strong>XPENG</strong> is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. 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.</div> <div class="ace-line ace-line old-record-id-UUjQdf7dhoill9x5b9xcHGTJnDJ"> </div> <div class="ace-line ace-line old-record-id-UUjQdf7dhoill9x5b9xcHGTJnDJ">We are looking for a hands-on Senior Staff AI Engineer to build and scale production-grade AI systems that drive measurable impact across internal teams. This role owns the end-to-end delivery of applied AI solutions—partnering with product, engineering, and cross-functional teams across the organization to identify high-value use cases, and translating them into scalable systems using LLMs, retrieval, and agentic workflows. You will also define architecture and reusable patterns to enable AI adoption broadly, while setting a high bar for reliability, evaluation, and performance.</div> <div class="ace-line ace-line old-record-id-Z1yxdTP5QobbzHxMDfucLGn3nUb"> </div> <div class="ace-line ace-line old-record-id-TThCdPelNoxVtZxYvv0cGIchnfg"><strong>Job Responsibilities:</strong></div> <ul class="list-bullet1"> <li class="ace-line ace-line old-record-id-Xkzzdi4ghok3wFxrAkbcVDA1ntg" data-list="bullet"> <div>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.</div> </li> <li class="ace-line ace-line old-record-id-F8PVdCVlfoSnuOx6YoMccveLnKg" data-list="bullet"> <div>Define long-term architecture and engineering standards for Applied AI systems to maximize reuse, reliability, and impact across multiple product areas.</div> </li> <li class="ace-line ace-line old-record-id-QDO6dtRapoJfPSxdhyycn54Jnhb" data-list="bullet"> <div>Partner with business sponsors to translate high-value opportunities into roadmaps and shipped products with clear success metrics and measurable outcomes.</div> </li> <li class="ace-line ace-line old-record-id-EkPodYJoSoKi5wxKrgkc0PdwnYd" data-list="bullet"> <div>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.</div> </li> <li class="ace-line ace-line old-record-id-BMVidRtwiomq0ux39uacFn0znCg" data-list="bullet"> <div>Drive continuous improvement in AI methodologies and best practices; evaluate emerging capabilities and land them as secure, production-grade systems.</div> </li> <li class="ace-line ace-line old-record-id-TbRdd2g6zojiwIxWnk2cG4xmnCf" data-list="bullet"> <div>Collaborate with stakeholders to embed robust governance, privacy, security, safety, and reporting practices across the AI lifecycle.</div> </li> <li class="ace-line ace-line old-record-id-QEoYdY8tWoNEQfxol95c0PiYn1e" data-list="bullet"> <div>Champion AI literacy, enablement, and adoption through demos, guidance, and technical leadership across the organization.</div> </li> <li class="ace-line ace-line old-record-id-IHaUdqn3PolJvZxN0G9cgshyn4g" data-list="bullet"> <div>Establish rigorous evaluation, guardrails, and monitoring practices; instrument offline and online metrics to ensure quality, safety, and SLOs.</div> </li> </ul> <div class="ace-line ace-line old-record-id-V12cdV0PJoNxLTxcHpNcQKnknBg"> </div> <div class="ace-line ace-line old-record-id-GGhKdbEssoSGsfxXXrpcW8CVnvf"><strong>Minimum Skill Requirements:</strong></div> <ul class="list-bullet1"> <li class="ace-line ace-line old-record-id-DAfLdHrC1oModxxUepicouqfnHd" data-list="bullet"> <div>BS/MS/PhD in Computer Science or a related field, or equivalent experience.</div> </li> <li class="ace-line ace-line old-record-id-E2Z3dX151o9BMFxA5mgclm0inbb" data-list="bullet"> <div>10+ years of software engineering experience, with a proven track record delivering complex, production-grade systems.</div> </li> <li class="ace-line ace-line old-record-id-I4bfdjOL4obUOgxNH6ucz3twnib" data-list="bullet"> <div>Deep technical expertise in AI/ML, with hands-on experience building and deploying systems using language models, retrieval/grounding (RAG), embeddings/vector search, and evaluation frameworks.</div> </li> <li class="ace-line ace-line old-record-id-CLOYdBYfCoaKEuxVREQc01bCnec" data-list="bullet"> <div>Hands-on experience building and scaling agentic AI systems in production environments.</div> </li> <li class="ace-line ace-line old-record-id-BWHEdcm9IoP0RJxMhObcVtQpnLd" data-list="bullet"> <div>Strong experience designing and implementing evaluation systems, including LLM-as-Judge frameworks, metric design, synthetic data generation, and agent benchmarking pipelines.</div> </li> <li class="ace-line ace-line old-record-id-Qtkcdr8E7ogwnGx6QOlczqfrnHh" data-list="bullet"> <div>Proven ability to establish feedback loops from production systems into evaluation and model improvement workflows.</div> </li> <li class="ace-line ace-line old-record-id-SJhcdfQAPo5FmixVDy4csrfRnNf" data-list="bullet"> <div>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).</div> </li> <li class="ace-line ace-line old-record-id-M2PldKG6soKL2exZb8Lcx8qtnvb" data-list="bullet"> <div>Experience architecting and deploying enterprise-scale AI systems or subsystems, with the ability to define technical direction, architecture, and reusable platform components across teams.</div> </li> <li class="ace-line ace-line old-record-id-OpYldbzHRo8vM0xo90wcBkl8nXb" data-list="bullet"> <div><strong>Deep expertise in at least one of the following areas: </strong></div> <ul class="list-bullet2"> <li class="ace-line ace-line old-record-id-KRIXdNrQUopaHsx0RiOclVPynRr" data-list="bullet"> <div><strong>Agent memory systems (context management, long-term persistence, </strong><strong>retrieval</strong><strong> </strong><strong>optimization</strong><strong>). </strong></div> </li> <li class="ace-line ace-line old-record-id-T5KUdwShooRT3RxjPdqcppExnxh" data-list="bullet"> <div><strong>AI gateways / tool orchestration layers (e.g., </strong><strong>MCP</strong><strong>, service integration, authorizatio

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