Decagon is looking to solve the business problem of enabling brands to deliver concierge customer experiences at scale through an AI platform. The Agent Orchestration team specifically focuses on building the core execution layer that powers these AI agent interactions, ensuring correctness, reliability, and speed in real customer environments.
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
- Experience with real time or low latency systems
- Experience with workflow engines, agents, or model driven applications
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
- Design and build the systems that determine how Decagon agents operate under real world conditions
- Own complex distributed systems challenges
- Create foundations that help teams improve agent performance, reliability, and quality
Other
- In-office company
- Customers are everything
- Relentless momentum
- Winner's mindset
- Stronger together
