Research Engineer

Decagon Decagon · Vertical AI · New York, NY · Engineering

Research Engineer at Decagon, a conversational AI platform company. The role focuses on building and improving core conversational AI models and agents for enterprise support, from idea to production. This involves research and engineering efforts in areas like instruction following, retrieval, memory, and long-horizon task completion, as well as optimizing models for quality, efficiency, and user experience. The role requires experience in post-training and deploying LLMs in production and a track record of delivering measurable production impact.

What you'd actually do

  1. Lead research and engineering efforts to improve core conversational capabilities in production, including instruction following, retrieval, memory, and long-horizon task completion
  2. Build and iterate on end-to-end models and pipelines that optimize for quality, efficiency, and user experience
  3. Partner with platform and product engineers to integrate new models into production systems
  4. Break down ambiguous research ideas into clear, iterative milestones and roadmaps.

Skills

Required

  • 2+ years of experience in AI/ML engineering or research
  • Prior experience post-training and deploying LLMs in production environments
  • Fluency in Python and modern ML tooling (training, evaluation, data pipelines)
  • Track record of taking research ideas from prototype → reliable, measurable production impact

What the JD emphasized

  • core conversational capabilities in production
  • end-to-end models and pipelines
  • integrate new models into production systems
  • production environments
  • measurable production impact

Other signals

  • building core models and algorithms behind AI agents
  • improving core conversational capabilities in production
  • pushing the frontier of applied conversational AI