出海雷达

高级软件工程师,AI 与平台 API(远程,国际)

Senior Software Engineer, AI & Platform APIs (Remote, International)

AI开发工程限定地区(需当地身份)日间重叠仅 1 小时,需熬夜配合
公司PulsePoint
薪资未公开
工作地点United Kingdom
地域资格限定地区(需当地身份)
时区要求日间重叠仅 1 小时,需熬夜配合
用工类型Full Time
发布时间18 天前
数据来源Himalayas
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注意地域限制:该职位明确限定在 United Kingdom 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
作息提示:日间重叠仅 1 小时,需熬夜配合。

关于PulsePoint:
PulsePoint是一家领先的科技公司,利用实时的现实世界数据优化广告活动表现并革新健康决策。通过独有的数据集和方法论,PulsePoint以无与伦比的精准度针对医疗专业人士和患者,为所服务的客户提供无与伦比的结果。该公司现为Internet Brands的一部分,而Internet Brands是KKR投资组合公司,同时也是WebMD Health Corp的所有者。
团队:门户/平台工程。6年以上经验。
这是一个双重点的高级后端职位,大约50/50地分配在AI和核心平台工程上。一半的工作内容是GCP上的AI,使用Python构建MCP/代理工具,将基于LLM的功能部署到我们的门户中,并推动团队中的AI辅助开发实践。另一半是Java 21 / Spring Boot 3.4,构建和维护我们的生产REST API,同时积极进行遗留系统的现代化。
我们需要一位在两者方面都真正强大的人,而不是一个AI专家之后再学习Java,或者一个Java工程师希望在工作中学习AI。
必备条件:
• 6年以上软件工程专业经验
• 已将真实的基于LLM的产品部署给生产用户,演示和POC不计
• 熟练掌握GCP + Kubernetes(Cloud Run, IAM, Secret Manager)
• 精通生产环境的Python
• 精通生产环境的Java,使用Spring Boot,能独立设计、构建、测试、审查REST服务
• 实际熟练使用AI开发工具(Claude Code, Codex等),并已用它们自动化实际工作
加分项:MCP/工具调用经验,生产环境的RAG,遗留Java迁移经验,HCP/广告技术领域经验。
地点与时间:

  • 可在当前所在国家远程办公
  • 我们的门户工程团队大部分位于印度和美国
  • 时间:
  • 对于拉丁美洲的候选人,上午9点至下午6点ET,上午8点至下午5点ET,或上午7点至下午4点ET都可以。通常你的本地时间都可以
  • 对于其他国家的候选人,要求至少与美国东海岸时间有2点后的重叠(至少与美国东海岸时间有5小时重叠)

选拔流程:

  • 在线CodeSignal评估(75-90分钟)
  • 初步电话(15分钟)
  • 与高级开发人员的技术面试(60-90分钟,注意一些候选人可能需要超过60分钟)
  • 全屏面试:
  • 与两位高级开发人员的技术面试,共1小时
  • 与门户工程副总裁的15分钟面试
  • 观看此视频了解我们更多的文化,感受在PulsePoint工作的氛围
查看英文原文

About PulsePoint:
PulsePointis a leading technology company that uses real-world data in real-time to optimize campaign performance and revolutionize health decision-making. Leveraging proprietary datasets and methodology, PulsePoint targets healthcare professionals and patients with an unprecedented level of accuracy—delivering unparalleled results to the clients we serve. The company is now a part of Internet Brands, a KKR portfolio company and owner of WebMD Health Corp.
Team: Portals / Platform Engineering. 6+ years of experience.
This is a dual-focus senior backend role, split roughly 50/50 between AI and core platform engineering. Half the job is AI on GCP, building MCP/agent tooling in Python, shipping LLM-backed features into our portals, and driving AI-assisted dev practices across the team. The other half is Java 21 / Spring Boot 3.4, building and maintaining our production REST APIs, plus an active legacy modernization.
We need someone genuinely strong in both, not an AI specialist who'll learn Java later, or a Java engineer hoping to pick up AI on the job.
Must-haves:
• 6+ years professional software engineering experience
• Shipped a real LLM-backed product to production users, demos and POCs don't count
• Hands-on GCP + Kubernetes (Cloud Run, IAM, Secret Manager)
• Strong production Python
• Strong production Java with Spring Boot, designs, builds, tests, reviews REST services independently
• Practical fluency with AI dev tools (Claude Code, Codex, etc.), has automated real work with them
Nice to have: MCP/tool-calling experience, RAG in production, legacy Java migration experience, HCP/adtech domain exposure.
Location & Hours:

  • Can work remotely in your current country
  • Most of our Portal Engineering team is in India and the U.S.
  • Hours:
  • For candidates in Latin America, 9am-6pm ET, 8am-5pm ET, or 7am-4pm ET is also fine. Generally your local hours can work
  • For candidates in other countries, the requirement is to overlap until at least 2pm ET (have at least 5 hours of overlap with East Coast U.S. hours)

Selection Process:

  • Online CodeSignal assessment (75-90 minutes)
  • Intro Call (15 minutes)
  • Technical Interview with Sr. Developer (60-90 minutes, note that some candidates may need more than 60 minutes)
  • Full Screen:
  • Technical Interview with 2 Sr. Developers, 1 hour together
  • 15 minutes with VP, Portal Engineering

Watch this videohereto learn more about our culture and get a sense of what it’s like to work at PulsePoint!
Originally posted on Himalayas

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