资深软件工程师，代理平台
Staff Software Engineer, Agent Platform
关于Decagon
Decagon是领先的对话式AI平台，使每个品牌都能提供礼宾式客户体验。
我们的技术使Avis Budget Group、Block的Cash App和Square、Chime、Oura Health以及Hunter Douglas等行业领先企业能够部署AI代理，以在语音、聊天、电子邮件、短信及其他所有渠道中实现个性化、令人满意的互动。
我们正在构建一个未来，客户体验将从客服工单和等待音乐转变为更快的解决方案、更丰富的对话和更深厚的关系。我们自豪地得到了世界级投资者的支持，他们与我们的愿景一致，包括a16z、Accel、Bain Capital Ventures、Coatue和Index Ventures，以及其他许多投资方。
我们是一家需要到办公室工作的公司，致力于共同追求卓越和速度。我们的价值观——“ Just Get It Done（只管完成）”、“Invent What Customers Want（发明客户想要的东西）”、“Winner’s Mindset（胜者心态）”和“The Polymath Principle（通才原则）”塑造了我们团队的工作和成长方式。
关于团队
Agent Platform团队构建了运行时和模型编排层，为Decagon的代理在生产环境中提供支持。这是将工作流、工具和安全机制转化为可靠、低延迟且愉悦用户体验的编排层。
这项工作的核心是代理框架：路由、执行逻辑、工具编排和控制平面系统，决定了代理在实时对话中的行为。该团队负责每段对话的完整执行生命周期，从选择工作流和编排多个模型（例如路由器/规划器/监督者模式），到协调工具调用、强制安全约束并回传信息给用户。
该团队同时涉及实时系统（例如对延迟要求严格的语音交互）和更长周期的执行（支持更复杂的推理和工作流）。我们的研究表明，代理任务执行的可靠性越来越多地依赖于其周围的编排层。
这是一项高度实验性、前沿风格的工程工作。团队持续分析现实世界中的故障，通过离线评估和在线实验建立反馈循环，并快速迭代以提升质量、可靠性和能力。随着模型能力的发展，团队会定期重新思考系统设计，以推动生产环境中的代理性能向前发展。
关于职位
作为Agent Platform团队的高级软件工程师，您将
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About Decagon
Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.
Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.
We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.
We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team.
About the Team
The Agent Platform team builds the runtime and model orchestration layer that powers Decagon’s agents in production. This is the orchestration layer that turns workflows, tools and guardrails into a reliable, low-latency, and delightful experience for end users.
At the core of this work is the agent harness: the routing, execution logic, tool orchestration, and control-plane systems that determine how an agent behaves in a live conversation. The team owns the full execution lifecycle of each conversation—from selecting workflows and orchestrating multiple models (e.g., router/planner/supervisor patterns), to coordinating tool calls, enforcing safety constraints, and communicating back to the user.
The team operates across both real-time systems (e.g., voice interactions with strict latency requirements) and longer-horizon execution (supporting more complex reasoning and workflows). Our research shows that an agent’s task execution reliability increasingly depends on the orchestration layer that wraps around it.
This is highly experimental, frontier-style engineering. The team continuously analyzes real-world failures, builds feedback loops through offline evaluation and online experimentation, and iterates quickly to improve quality, reliability, and capability. As model capabilities evolve, the team regularly rethinks system design to push agent performance forward in production.
About the Role
As a Staff Software Engineer on the Agent Platform team, you will design and build the systems that govern how Decagon agents operate in real-world environments.
You will own complex, distributed systems that sit at the heart of the agent runtime: execution frameworks, model orchestration logic, and experimentation platforms that ensure agents are fast, reliable, and continuously improving. Your work will directly impact how agents reason, take actions, and deliver outcomes across millions of interactions.
This role operates in a fast-moving, ambiguous space with tight feedback loops. You’ll move fluidly between diagnosing production issues, designing new system abstractions, and running experiments to improve agent behavior. You’ll collaborate closely with Research, Infra, and Product teams to ship improvements safely and at scale.
In this role, you will
- Design and evolve agent harnesses that power different product experiences
- Build core runtime systems, including AOP execution and multi-model orchestration
- Develop control-plane logic for routing, planning, and tool invocation with strong safety guarantees
- Optimize agent systems for latency, reliability, and production correctness
- Analyze real-world failures and use data to drive iterative improvements
- Build and operate online experimentation (A/B testing) and contribute to offline evaluation frameworks
- Improve observability, testing, and simulation systems to ensure safe, measurable progress
- Contribute to voice and real-time systems (e.g., transcription pipelines, turn-taking, latency improvements)
- Continuously adapt orchestration systems as model capabilities evolve
Your background looks something like this
- Strong experience building distributed systems or backend platforms in production environments
- Comfort working in ambiguous, fast-moving environments with rapid iteration cycles
- Experience owning systems end-to-end, from design through production and iteration
- Familiarity with experimentation, evaluation, or data-driven product improvement loops
- A track record of improving system reliability, performance, and observability
- Ability to debug complex systems and identify root causes of failures
Even better
- You’ve built or worked on agent harnesses, orchestration layers, or execution frameworks
- You think in terms of control planes, feedback loops, and system-level optimization, not just features
- You’re excited about diagnosing failure modes and iterating toward measurable improvements
- You care deeply about production quality—not just making systems work, but making them reliable, safe, and scalable
- You’re motivated by pushing the frontier of how intelligent systems behave in the real world
Compensation
$200K – $400K + Offers Equity
This range reflects the expected compensation for this role. Compensation within the range is determined based on experience, skills, and the scope of responsibilities, with flexibility for candidates who demonstrate exceptional impact.
In addition to base salary, we offer competitive equity. Final compensation may vary based on location within the United States.
Benefits
We proudly offer the following benefits for our full-time employees:
- Medical, Dental, and Vision benefits for you and your family
- Life Insurance and Disability Benefits
- Retirement Plan (e.g., 401K, pension)
- Parental Leave
- Fertility and family building benefits through Carrot
- Monthly stipend to support your wellness, lifestyle, and work-life balance
- Daily lunches and snacks in the office to keep you at your best
- Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave)
These benefits are described in more detail in Decagon’s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.