Senior Software Engineer, Agent Orchestration

Decagon•New York, NY

2d•Onsite

About The Position

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 Orchestration team builds the core execution layer that powers every agent interaction. This includes the systems responsible for coordinating model reasoning, evaluating agent behavior, and ensuring that agents behave reliably in real customer environments. We focus on correctness, reliability, and speed. Our work shapes how Decagon agents plan, decide, and take actions across millions of interactions. About the Role As a Senior Software Engineer on the Agent Orchestration team, you will design and build the systems that determine how Decagon agents operate under real world conditions. You will own complex distributed systems challenges and create foundations that help teams improve agent performance, reliability, and quality. You will have significant autonomy, direct impact, and the ability to shape the architecture behind one of the most advanced agent platforms in the world.

Requirements

5+ years of experience building production systems
Proficiency in Python or Typescript and comfort with asynchronous programming
Strong debugging skills across complex technical stacks
Ability to design reliable distributed systems that handle real world failure modes
A track record of owning large technical projects end to end

Nice To Haves

Experience with real time or low latency systems
Experience with workflow engines, agents, or model driven applications
Experience building tooling or infrastructure for other engineers
Experience with experimentation or evaluation systems

Responsibilities

Build the execution engine that powers intelligent agents at scale
Design systems that coordinate model reasoning and actions while staying fast and correct
Improve reliability through better testing, observability, and safeguards
Build foundations that help teams evaluate and improve agent behavior safely and continuously