高级软件工程师，后端（AI 代理运行时）
Senior Software Engineer, Backend (AI Agent Runtime)
Cresta 释放客户体验的真正潜力，将每次对话转化为竞争优势。Cresta 的统一 AI 平台结合了对话 AI 代理、实时人工代理增强功能以及全面的对话智能，从而在每个渠道中提升收入和效率。包括联合航空、Cox Communications 和万豪在内的世界领先公司每天使用 Cresta 来打造世界级的客户体验。
Cresta 起源于斯坦福人工智能实验室，已从包括 a16z、Greylock 和 Sequoia 在内的世界顶级投资者处筹集了超过 2.7 亿美元。Cresta 的领导团队包括当今人工智能领域的顶尖人才。我们的首席执行官 Ping Wu 曾创立并领导了谷歌的 Contact Center AI 和 Vertex AI 平台，在加入 Cresta 之前，他致力于构建 AI 驱动的客户体验的未来。
在未来几年里，AI 将重新定义世界各地人们与企业互动的方式。来 Cresta 一起构建这个未来。
关于该职位
- 构建实时 AI 代理基础设施：设计并运营支持语音和聊天 AI 代理的状态化、低延迟运行时环境 —— 从 LLM 流式传输和对话状态管理到优雅恢复和多渠道支持。
- 解决分布式系统问题：负责跨扩展工作节点的会话管理 —— 包括亲和性、检查点、崩溃恢复以及并发访问下的一致性。
- 构建函数执行平台：负责一个类似无服务器的运行时环境，客户可以在其中部署自定义逻辑 —— 构建编排、容器生命周期、自动扩展和版本化发布。
- 负责开发者体验和测试基础设施：构建 CLI 工具、本地开发环境和测试执行框架，让工程师能够快速迭代并自信地交付。
- 提升生产质量标准：推动可观测性、事件响应和工程最佳实践在整个团队中的实施。
我们寻找的人才
- 5 年以上软件工程经验，有大量时间从事基础设施、平台或系统工作。
- 精通 Python 和 Go —— 这两个语言都是本职位的核心，而非一个为主、一个为辅。
- 对分布式系统有深入理解：一致性、容错、状态管理、并发。
- 有 Kubernetes 和云原生基础设施的经验。
- 有构建面向开发者的工具的经验 —— CLIs、SDKs、本地开发环境或内部平台。
- 擅于沟通，能够推动项目进展
查看英文原文
Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day.
Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia. Cresta’s leadership includes some of the leading minds in AI today. Our CEO, Ping Wu, founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences.
Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta.
About the role
- Build real-time AI agent infrastructure: Design and operate the stateful, low-latency runtime that powers voice and chat AI agents — from LLM streaming and conversation state management to graceful recovery and multi-channel support.
- Solve distributed systems problems: Own session management across scaled-out workers — including affinity, checkpointing, crash recovery, and consistency under concurrent access.
- Build a function execution platform: Own a serverless-style runtime where customers deploy custom logic — build orchestration, container lifecycle, autoscaling, and versioned rollouts.
- Own developer experience and test infrastructure: Build CLI tools, local development environments, and test execution frameworks that let engineers iterate quickly and ship with confidence.
- Raise the bar on production quality: Drive observability, incident response, and engineering best practices across the team.
What we’re looking for
- 5+ years of software engineering experience, with meaningful time spent on infrastructure, platform, or systems work.
- Strong Python and Go — both are core to this role, not one primary and one secondary.
- Deep understanding of distributed systems: consistency, fault tolerance, state management, concurrency.
- Experience with Kubernetes and cloud-native infrastructure.
- Experience building developer-facing tooling — CLIs, SDKs, local dev environments, or internal platforms.
- Strong communicator who can drive technical decisions, write clear design docs, and mentor others.
- High bar for code quality — thorough testing, thoughtful code review, and sustainable engineering practices.
- Comfort operating what you build — on-call, incident response, and production ownership.
- AI-native workflow — you actively use LLMs and AI-assisted tools in your daily development, and can leverage them to move faster and tackle problems that would otherwise be impractical.
Nice-to-haves
- Experience with real-time voice or streaming media systems.
- Hands-on with LLM integration — streaming inference, prompt orchestration, retrieval-augmented generation.
- Experience building serverless or function-as-a-service platforms.
- Workflow engines (Temporal, Argo, Airflow) for durable, long-running processes.
- Experience in conversational AI or speech domains.
- Infrastructure-as-code and GitOps workflows.
Perks & Benefits:
- We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs
- Paid parental leave to support you and your family
- Monthly Health & Wellness allowance
- Work from home office stipend to help you succeed in a remote environment
- Lunch reimbursement for in-office employees
- PTO: 3 weeks in Canada
Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. We are actively hiring for this role in the US and Canada. Your recruiter can provide further details.
Our use of AI in recruiting: We may use AI tools in our recruiting process, which require human review and oversight. If you have questions about our use of AI or wish to opt out, please contact recruiting@cresta.ai (if you are opting out, please use the subject ‘Opt-Out’ in your email).
Recording & AI transcription: We do not authorize candidates to record or use AI transcription of any interview by phone, notetaker app, AI glasses, or other device. Candidates may request an exception or accommodation for review during the interview process as needed.
Recruiting impersonation scams: We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.