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Decagon

Builds AI agents for enterprise customer support

Senior Software Engineer - Agent Platform

AI Application EngineeringUpdated on Nov 10
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • 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.

Responsibilities

  • 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, including transcription pipelines, turn-taking, and latency improvements.
  • Continuously adapt orchestration systems as model capabilities evolve.

Desired Qualifications

  • Experience building or working on agent harnesses, orchestration layers, or execution frameworks.
  • Thinking in terms of control planes, feedback loops, and system-level optimization rather than only features.
  • Interest in diagnosing failure modes and iterating toward measurable improvements.
  • Focus on production quality, including making systems reliable, safe, and scalable.
  • Motivation to advance how intelligent systems behave in real-world settings.

About the Company

Decagon

Builds AI agents for enterprise customer support

Decagon builds AI customer support agents for large businesses, handling customer questions and requests over voice, chat, email, and text messages. Its platform connects these conversations to company records and internal tools, so an agent can check an order, change a reservation, or complete a support task. Customer experience teams define how agents should respond and when to pass a case to a person, while testing tools check behavior before changes reach customers. Businesses pay usage fees for the software, with charges tied to conversations or completed resolutions rather than the number of human support staff. Decagon was founded in 2023 and is headquartered in San Francisco.

Company size
501-1,000
Company stage
Series D
Total funding
$481M
Headquarters
San Francisco, CA
Founded
2023

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