高级应用AI工程师
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Senior Applied AI EngineerCulture Amp · Sydney
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职位描述
机器翻译我们坚信线下办公的力量，因此对于大多数岗位，我们要求 Campers 平均每周有 2 天在当地的 Culture Amp 办公室工作，以便共同解锁连接、节奏与文化。
加入我们，共同完成让工作世界更美好的使命。
Culture Amp 是全球领先的员工体验平台，正在彻底改变来自 6,000 多家公司的 2,500 万名员工创造更美好工作世界的方式。Culture Amp 赋能各种规模和行业的企业，帮助其转变员工敬业度、推动绩效管理并打造高绩效团队。依托人员科学和全球最全面的员工数据集，Canva、On、Asana、Dolby、McDonalds 和 Nasdaq 等最具创新性的公司每天都依赖 Culture Amp。
Culture Amp 由领先的风险投资基⾦⽀持，并在美国、英国、德国和澳⼤利亚设有办公室。Culture Amp 被 Forbes 评为全球顶尖私营云计算公司之一，并被 Fast Company 评为最具创新性公司之一。
如需了解更多信息，请访问 cultureamp.com。
你可以如何帮助打造更美好的工作世界
我们正在寻找一名高级应用 AI 工程师加入 Frontier 团队，帮助在 Culture Amp 构建 Agentic AI 解决方案。你将在应用 AI 研究与产品工程的交叉领域工作，将前沿技术转化为真正改善人们工作体验的生产系统。这不是研究实验室——你将交付解决真实客户问题的功能。
岗位职责
• 使用框架（例如 LangGraph）设计、实现并评估面向 agentic AI 能力和系统的领域与功能，以支持有状态、多轮对话。
• 提供建议、帮助构建并编排涉及职场数据（调查、目标、绩效评估、反馈、1-1 记录）的数据管道和集成，形成连贯的上下文视图。
• 构建跨会话记忆和上下文图谱，并以自定义本体为基础，同时构建持久化到用户画像中的每用户关系记忆、程序记忆和偏好。
• 构建并评估有效的 RAG，包括预处理和混合搜索，并设计我们基于图的 agentic 框架的各个领域。
• 负责端到端反馈闭环：提示词工程、规模化评估和持续改进，包括由 LLM 驱动的分析工具，用于诊断绩效变化并建议提示词或系统层面的变更。
• 通过从用户需求反向推导系统设计，将客户需求转化为技术解决方案，并编写支持向产品团队移交的技术文档。
• 与产品、设计和人员科学紧密合作，确保功能契合目的并可扩展。
• 为评估框架和偏见测试做出贡献，以满足企业对透明度、公平性和负责任 AI 的要求。
• 在生产环境中创建并监控护栏和安全机制。
• 持续跟进 AI 研究、文献和供应商产品，并将有用的内容引入生产。
你需要具备：
• 已证明的商业经验，能够将 ML/AI 系统推进到生产环境。
• 知识图谱和图数据库（例如 Neo4j、Neptune）的实操经验。
• 生产级 LLM 评估与可观测性：LLM-as-judge、评估数据集、人在回路标注、按阈值评分，以及追踪和生产监控（例如 Langfuse、LangSmith）。
• 设计和扩展生产级多 agent 系统的经验（编排、提示词和上下文工程、RAG、记忆、agent 架构）
• 全栈软件开发经验，最好熟悉 Python、React、PGVector
• 扎实的软件工程基础——你编写干净、经过测试、可维护的代码。
• 已证明能够指导并将复杂工作流委派给自主 agent，并构建必要的反馈闭环，以确保它们代表你可靠行动。
• 设计和集成数据管道的实操经验——你能够自如地跨系统移动数据，在严格的安全标准内工作，处理混乱的真实世界输入，并构建稳健的编排
• 你对所构建的内容有雄心，同时保持务实、以解决方案为中心的心态——你评估新技术时看的是“这是否能可扩展地解决问题？”，而不是“这在技术上是否有趣？”
• 价值观契合、主动承担风险的意愿，以及学习和公开工作的谦逊。你为自己的工作及其成功使用、稳定性、可扩展性和可维护性感到自豪。
强信号：
• 在初创公司或创始团队的经验——能够适应模糊性和快速迭代
• 机器学习、计算机科学、应用数学或相关定量领域的 postgraduate degree（硕士或博士）
• 有将前沿（相关）技术从论文推进到生产的证据
任职要求
• 有将相关、近期技术从论文推进到生产的证据
加分项：
• 熟悉人员分析、HR 技术或行为科学应用
• 开源贡献或公开技术写作
福利待遇
你将在规模化环境中解决重要难题——构建帮助组织发展员工、改善反馈文化，并营造可持续高绩效条件的 AI。我们的方法深受 Culture Amp 人员科学研究启发。你将与一群才华横溢、充满热情、倡导人性化与职场前沿 AI 的人共事。
在 Culture Amp，员工是我们成功的核心。我们提供有竞争力的薪酬和旨在支持你工作与生活的整体奖励方案。其中包括：
• 通过我们的员工股票期权计划获得股权，让你分享我们的长期成功
• 学习项目和辅导，帮助你茁壮成长
• 每季度 refresh days、延长的年末假期，以及每月津贴，以支持你的身心健康和生活方式
• 从第一天起提供包容性的育儿假
• 一台 MacBook 和用于布置家庭工作空间的预算，支持灵活性
• 每年五天社会影响日，用于回馈对你重要的事业
• 为你和家人提供医疗保险（仅限美国和英国）
我们的奖励旨在支持不同需求和人生阶段，并认识到对每个人来说最重要的事情可能各不相同。
研究表明，来自代表性不足背景的候选人如果不符合每一项要求，可能会犹豫是否申请，但你的独特经验很重要。如果你有兴趣加入我们，我们强烈鼓励你申请，帮助我们打造更多元、更有影响力的团队。
便利安排与数据隐私
如果你因残障需要合理便利或调整，以完成在线申请或参与面试流程，请联系 accommodations@cultureamp.com，并说明你请求的便利或协助类型。请勿在此电子邮件中包含任何医疗或健康信息。合理便利团队将及时回复你的电子邮件。
Culture Amp 将在你的申请流程完成之日起两年内（美国为四年）保留你的简历和个人信息。在此期间，Culture Amp 可能会就未来工作机会与你联系。如需了解更多信息，请在此查看我们的隐私政策，或联系 privacy@cultureamp.com。
以上内容由机器翻译自动生成，可能存在错误；投递前请以雇主原文为准。
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职位描述
We’re big believers in the power of IRL, so for most roles we ask Campers to work from their local Culture Amp office an average of 2 days a week to unlock connection, pace and culture together.
Join us on our mission to make a better world of work.
Culture Amp is the world’s leading employee experience platform, revolutionizing how 25 million employees across more than 6,000 companies create a better world of work. Culture Amp empowers companies of all sizes and industries to transform employee engagement, drive performance management, and develop high-performing teams. Powered by people science and the most comprehensive employee dataset in the world, the most innovative companies including Canva, On, Asana, Dolby, McDonalds and Nasdaq depend on Culture Amp every day.
Culture Amp is backed by leading venture capital funds and has offices in the US, UK, Germany and Australia. Culture Amp has been recognized as one of the world’s top private cloud companies by Forbes and most innovative companies by Fast Company.
For more information visit cultureamp.com .
How you can help make a better world of work
We're looking for a Senior Applied AI Engineer to join the Frontier team, helping build Agentic AI Solutions at Culture Amp. You'll work at the intersection of applied AI research and product engineering, translating cutting-edge techniques into production systems that genuinely improve how people experience work. This isn't a research lab - you'll be shipping features that solve real customer problems.
岗位职责
• Design, implement and evaluate areas and features for agentic AI capabilities and systems using frameworks (e.g., LangGraph) for stateful, multi-turn conversations.
• Advise, help build, and orchestrate data pipelines and integrations involving workplace data (surveys, goals, performance reviews, feedback, 1-1 notes) into coherent context view.
• Build memory across sessions, and context graph, grounded in a custom ontology, alongside per-user relational and procedural memory and preferences that persist to the user profile.
• Build and evaluate effective RAG, including pre-processing and hybrid search, and design areas of our graph-based agentic frameworks.
• Own the end-to-end feedback loop: prompt engineering, evaluation at scale, and continuous improvement, including LLM-powered analysis tools that diagnose performance shifts and recommend prompt or system-level changes.
• Translate customer requirements into technical solutions by working backwards from user needs to system design, and write the technical documentation that supports transfer to product teams.
• Partner closely with product, design, and people science so features are fit for purpose and scale.
• Contribute to evaluation frameworks and bias testing that meet enterprise requirements for transparency, fairness, and responsible AI.
• Create and Monitor guardrails and safety in production.
• Stay current with AI research, literature and provider offerings, and bring what's useful into production.
You have:
• Proven commercial experience taking ML/AI systems to production.
• Hands-on experience with knowledge graphs and graph databases (e.g. Neo4j, Neptune).
• Production LLM evaluation and observability: LLM-as-judge, eval datasets, human-in-the-loop labelling, scoring against thresholds, plus tracing and production monitoring (e.g. Langfuse, LangSmith).
• Experience in designing and scaling production-grade multi-agentic systems (orchestration, prompt and context engineering, RAG, memory, agent architectures)
• Full stack software development experience, ideally Python, React, PGVector
• Strong software engineering fundamentals - you write clean, tested, maintainable code.
• Proven ability to instruct and delegate complex workflows to autonomous agents, building the necessary feedback loops to ensure they act reliably on your behalf.
• Hands-on experience designing and integrating data pipelines - you're comfortable moving data across systems, working within rigorous security standards, handling messy real-world inputs, and building robust orchestration
• You are ambitious with what you build whilst maintaining a pragmatic, solution-focused mindset - you evaluate new technology through the lens of "does this scalably solve the problem?" not "is this technically interesting?"
• Values alignment, the initiative to take risks, and the humility to learn and work out loud. You take pride in your work and its successful utilisation, stability, extendability and maintainability.
Strong signals:
• Experience at startups or founding teams - comfortable with ambiguity and fast iteration
• Postgraduate degree (Masters or PhD) in Machine Learning, Computer Science, Applied Mathematics, or related quantitative field
• Evidence of taking cutting-edge (relevant) techniques from paper to production
任职要求
• Evidence of taking relevant, recent techniques from paper to production
Bonus:
• Familiarity with people analytics, HR tech, or behavioural science applications
• Open source contributions or public technical writing
福利待遇
You'll work at scale on hard problems that matter - building AI that helps organisations develop their people, improve feedback culture, and foster the conditions for sustainable high performance. Our approach is deeply informed by Culture Amp's people science research. You'll be surrounded by talented and passionate advocates for humanity and cutting edge AI in the world of work.
At Culture Amp, our people are at the heart of our success. We offer competitive pay and a total rewards package designed to support you at work and in life. This includes:
• Equity through our Employee Share Option Program, so you can share in our long-term success
• Learning programs and coaching to help you thrive and grow
• Quarterly refresh days, an extended end-of-year break and a monthly allowance to support your wellbeing and lifestyle
• Inclusive parental leave from day one
• A MacBook and budget to set up your home workspace, enabling flexibility
• Five annual social impact days to to give back to causes that matter to you
• Medical insurance coverage for you and your family (Available for US & UK only)
Our rewards are designed to support different needs and life stages, recognising that what matters most can vary from person to person.
Research shows that candidates from underrepresented backgrounds may hesitate to apply if they don’t meet every requirement, but your unique experience matters. If you’re interested in joining us, we strongly encourage you to apply and help us build a more diverse and impactful team.
Accommodations & Data Privacy
If you require reasonable accommodations or adjustments due to a disability to complete the online application or to participate in the interview process, please contact accommodations@cultureamp.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
Culture Amp will retain your CV & personal information for a period of two years (four years for the US) from the date of your application process completion. Culture Amp may contact you in relation to future job opportunities during this time period. For further information please see our privacy policy here or contact privacy@cultureamp.com .