高级软件工程师 II - LLM 观测
Senior Software Engineer II - LLM Observability
我们正在构建的
Honeycomb 是一项面向未来和当前的服务,重新定义了可观测性,并提升了开发者工具所能实现的期望!我们与 HelloFresh、Slack、LaunchDarkly 和 Vanguard 等知名公司合作,覆盖多个行业。这是我们发展过程中的激动人心时刻,我们完成了 D 轮融资,员工人数超过 200 人,并被列为《福布斯》2022 年和 2023 年美国最佳初创公司!
如果你想了解我们最近的动态,请查看这些博客文章和 Honeycomb.io 的新闻稿。
我们是谁
我们因影响力而来,因文化而留下!我们是一群才华横溢、有主见、充满热情、极度包容且负责任的团队成员。我们有坚定的信念,并努力每天践行我们的价值观。我们希望你的工作是在一群才华横溢(但谦逊)的同事中做你真正热爱的事情。
我们如何工作
我们是一家完全分布式公司,这意味着我们认为最重要的是你如何交付成果,而不是你坐在哪里。我们投资于我们的员工,关心你如何适应我们的文化和流程。同时,我们从第一天起就赋予你极大的信任、自主权和责任感。#LI-Remote
- 关于团队的更多内容:
LLM 可观测性(LLM O11y)团队构建了使 AI 工作负载在 Honeycomb 中可观察的基础层。我们定义 AI 系统在遥测数据(跨度、追踪、令牌使用、成本、评估信号等)中的表示方式,并确保来自不同生态系统的数据(例如 LangChain、OpenLLMetry、Braintrust)被归一化为基于 OpenTelemetry 的统一模型。
该团队负责所有下游 AI 可观测性体验所依赖的基础设施和数据模型。我们的工作支持从成本分析到异常检测的各个方面。如果你对定义和构建 AI 系统在生产环境中的“真相来源”感到兴奋,那么这就是适合你的团队。
你在该职位中的职责:
- 设计、构建和交付后端系统和 API。你将使用 Go 语言设计和实现 API 和后端服务,注重清晰度、可维护性和向后兼容性。你会主动考虑成本、扩展性和风险——预见技术问题并彻底探索替代方案和权衡。
- 构建和维护全栈产品功能。你将贡献前端(React/TypeScript)和后端(Go)代码来构建稳健的产品功能,保持对整个技术栈的熟练掌握。你将交付高质量的成果。
查看英文原文
What We’re Building
Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023!
If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases.
Who We Are
We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers.
How We Work
We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote
Little more about the team:
The team builds observability for AI in Honeycomb. We help customers see what their agents are doing, what those agents cost, and where errors happen. We also give them insight into individual conversations so they can debug them. We're bringing LLM and agent observability together, and we own both the data foundation and the product experiences built on top of it. You'll work in a small, cross-functional group of engineers with a dedicated product manager and designer, shipping features customers use in production. If you want to define how people understand and debug AI systems, this is the team for you.
What you’ll do in the role:
- Own end-to-end development of AI observability capabilities, from ingestion to in-product visualizations.
- Architect and evolve the data model and infrastructure that let us observe agents and their ecosystems across the Honeycomb product.
- Build systems that analyze and surface AI-specific signals, such as cost, token usage, errors, and anomalies.
- Collaborate with product and design partners to make sure what we build is usable, intuitive, and unlocks meaningful user workflows.
- Teach best practices for exploring and understanding AI system behavior across conversations and workloads.
- Iterate through fast feedback loops and experimentation, and share both wins and failures.
What you’ll bring to the role:
- Significant software engineering experience, with a record of shipping and owning features end to end.
- Experience shipping customer-facing features at a SaaS company, beyond internal tooling.
- Full-stack range, with proficiency in backend development (Go and/or Python) and frontend development (TypeScript and React).
- A track record of working closely with product managers and designers.
- Regular, hands-on use of AI tools in your day-to-day engineering work.
- Experience being on call. You'd join our rotation after about 90 days.
- A track record of navigating ambiguity in a fast-moving field where requirements shift and experimentation is a core part of the job.
- Bonus: Experience building LLM or agent-powered features in production.
- Bonus: Hands-on experience with observability tooling, such as OpenTelemetry.
Base Salary based on level of experience
$250,000—$280,000 CAD
What you'll get when you join the Hive:
- A stake in our success - generous equity with employee-friendly stock program
- It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience
- Time to recharge with unlimited PTO
- A distributed-first mindset and culture (really!)
- Home office, co-working, and internet stipend
- Full benefits coverage for employees, with additional coverage available for dependents
- Up to 16 weeks of paid parental leave, regardless of path to parenthood
- Annual development allowance
- And much more...
Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work.
Phishing and Recruitment Scam Warning:
We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you:
- All communications will come from an @honeycomb.io email address
- We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses—never personal accounts like Gmail or Yahoo.
- Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to:
- Social security or tax identification numbers
- Credit card numbers
- Bank account information
Diversity & Accommodations:
We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams.
We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know.
As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback.
Privacy Notice:
If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes.
For more information regarding our privacy practices please see the Honeycomb Privacy Notice.
If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io. Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.