出海雷达

Senior Software Engineer II Applied AI

AI开发工程市场运营职能支持未标注地域
公司Wrapbook
薪资未公开
工作地点Worldwide
地域资格未标注地域
时区要求无特别要求
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发布时间2 天前
数据来源Remote OK
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关于我们:Wrapbook 是生产融资的 AI 平台。我们正在建立一个行动系统,让金融团队控制整个生产,从薪水,到支出,到会计。为电影,电视和广告而构建的 Wrapbook 被 Netflix,Paramount,匿名内容等团队信任。与安德烈森霍罗维茨,贝塞默风险合作伙伴和杰弗里·卡兹伦伯格的 WndrCo 支持,我们的350多人团队使用人工智能改变了财务团队的工作方式并赋予他们更多的能力以做更少的事情。机会:高级软件工程师 II,应用 AI (远程 - 美国 / 加拿大)我们正在寻找一名高级软件工程师 II,应用 AI 将加入我们的 Agentic Systems 团队,你将在 Wrapbook 构建人工智能代理人,这些代理商可以自动化 Wrapbook 整个团队的工作流程。你将直接与市场营销,销售,支持,运营和财务等内部团队合作,找到高杆性过程,然后设计,发射和反复对从他们的板块中取出实际工作的代理人的代码进行开发。这是一个机会来定义400多名公司如何使用人工智能运行。你将看到每天你的工作的影响,同时塑造了我们在 WrapBook 构建代理者的模式,工具和标准。你会做什么:· 设计和构建生产级人工智能代理,使用 LangGraph 自动化内部团队的多步骤工作流程在 Wrapbook 中 · 在亚马逊 Bedrock AgentCore 上部署,运行和扩展代理,利用其运行时间,内存,身份和网关功能使它们安全可靠,同时跟踪运行的成本并保持效率随着使用增长 · 与内部团队合作寻找高影响力的工作流程,从无法向你提供规范的人那里提取要求,并将它们转换为经纪解决方案,明确解释每个经纪人可以做什么并且不能靠谱地做什么。·将代理与 Wrapbook 内部系统,API 和第三方工具集成,以便他们能够采取实际行动,而不仅仅回答问题 ·建立评估,可观察性和防护框架来测量代理质量,捕获故障并保持人类在重要的地方 ·建立可重复使用的模式,共享工具和最佳实践,使 Agentic Systems 团队快速和一致地发送新代理 ·自主代理人从原型到生产,以基于使用数据和反衡量其对服务团队的影响 ·通过清晰的文档,培训和启动推动采用,让团队了解每个代理的工作,信任它

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About Us:
Wrapbook is the AI platform for production finance. We’re building a system of action that puts finance teams in control of their whole production, from payroll, to spend, to accounting.
Built for feature films, TV, and commercials, Wrapbook is trusted by teams at Netflix, Paramount, Anonymous Content, and more. With backing from Andreessen Horowitz, Bessemer Venture Partners, and Jeffrey Katzenberg's WndrCo, our team of 350+ is using AI to transform how finance teams work and empower them to do more with less.

The Opportunity: Senior Software Engineer II, Applied AI (Remote - USA / Canada)
We are looking for a Senior Software Engineer II, Applied AI to join our Agentic Systems team, where you'll build AI agents that automate workflows for teams across Wrapbook. You'll partner directly with internal teams like Marketing, Sales, Support, Operations and Finance to find high-leverage processes, then design, ship and iterate on agents that take real work off their plates. This is a chance to define how a 400+ person company runs on AI. You'll see the impact of your work every day, while shaping the patterns, tools and standards for how we build agents at Wrapbook.

What You’ll Do:
· Design and build production-grade AI agents with LangGraph that automate multi-step workflows for internal teams across Wrapbook

  • Deploy, run and scale agents on Amazon Bedrock AgentCore, using its runtime, memory, identity and gateway capabilities to make them secure and reliable, while tracking what they cost to run and keeping it efficient as usage grows
  • Partner with internal teams to find high-impact workflows, draw out requirements from people who can't hand you a spec, and turn them into agent-driven solutions, explaining clearly what each agent can and can't reliably do
  • Integrate agents with Wrapbook's internal systems, APIs and third-party tools so they can take real actions, not just answer questions
  • Build evaluation, observability and guardrail frameworks to measure agent quality, catch failures and keep humans in the loop where it matters
  • Establish reusable patterns, shared tools and best practices that let the Agentic Systems team ship new agents quickly and consistently
  • Own agents end to end, from prototype to production, measuring their impact on the teams they serve and iterating based on usage data and feedback
  • Drive adoption through clear documentation, training and enablement, so teams understand what each agent does, trust it and know how to get the most from it

What You’ll Have:
· 6+ years of back-end development experience with Python, TypeScript/Node.js or Java, with a track record of delivering systems built for security, scalability, availability and performance

  • Hands-on experience building and shipping LLM-powered agents or workflows (with models such as Claude, GPT, Llama or Mistral), including prompting, tool use and structured outputs. You can walk us through one you built: how it was designed, what broke and how you fixed it
  • Production experience with at least one agent or LLM framework, such as LangGraph, LangChain, LlamaIndex or AutoGen, and a solid understanding of AI architectures like RAG, reranking and multi-agent orchestration. Experience with LangGraph specifically is a plus
  • A security-first mindset: you think about data access, permissions and failure modes in everything you build, especially when agents can take real actions
  • Strong product sense and communication skills, with the ability to work directly with non-technical teams to understand their workflows and turn them into reliable automation
  • Comfort with ambiguity and an ownership mentality: you can take a loosely defined problem from idea to production on your own
  • Nice to have: experience running AWS workloads in production and knowing how to design for, deploy on and get the most out of Amazon's services, ideally including Amazon Bedrock AgentCore

Why Join Us:
At Wrapbook, creativity meets technology — and not just in the product.
In addition to a competitive salary and all the benefits you can expect from a fast-growing technology company, you’ll get access to a team of creative problem solvers and the chance to see your contributions make large impacts Benefits include:
· Unlimited Paid Time Off

  • Work from anywhere in Canada and USA
  • Health and Dental benefits
  • Up to $1,500 USD/ $2,025 CAD towards IT set up for your home
  • Up to 2% matching RRSP / 401K
  • Learning and Development opportunities
  • Up to $50 USD/ $67.50 CAD towards Internet/Cell phone service

Our Pledge to Fostering an Inclusive and Safe Workplace:
Wrapbook pledges to be a harassment- and discrimination-free space for everyone, regardless of age, disability, ethnicity, gender identity or expression, nationality, neurotype, personal appearance, political affiliation, professional background, race, religion, or sexual identity or orientation.
Apply Now
Have we got your attention? Submit your application today and a member of our Talent team will be in touch with you shortly!
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