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Decagon

Builds AI agents for enterprise customer support

Research Engineer

AI ResearchUpdated on Nov 10
Full-time

About the Job

Requirements

  • At least 2 years of experience in AI/ML engineering or research.
  • Prior experience post-training and deploying large language models in production environments.
  • Fluency in Python and modern machine learning tooling for training, evaluation, and data pipelines.
  • A track record of taking research ideas from prototype to reliable, measurable production impact.

Responsibilities

  • Lead research and engineering efforts to improve core conversational capabilities in production, including instruction following, retrieval, memory, and long-horizon task completion.
  • Build and iterate on end-to-end models and pipelines that optimize for quality, efficiency, and user experience.
  • Partner with platform and product engineers to integrate new models into production systems.
  • Break down ambiguous research ideas into clear, iterative milestones and roadmaps.
  • Build industry-leading conversational AI models that power Decagon’s agent and take them from idea to production.
  • Own multi-quarter initiatives that advance the agent’s reliability, capability, and efficiency.
  • Design and implement frontier approaches for training, evaluation, and orchestration across the system.

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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