Research Engineer

As a Research Engineer, you’ll be responsible for building industry-leading conversational AI models that power Decagon’s agent, and taking them all the way from idea to production. You’ll own multi-quarter initiatives that push the agent’s reliability, capability, and efficiency forward, and you’ll design and implement frontier approaches for training, evaluation, and orchestration across the system.

We’re looking for strong engineers who want to build the core models and algorithms behind our AI agents. People here own their work end-to-end, ship real improvements, and are trusted to make high-impact technical decisions.

In this role, you will

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.

Your background looks something like this

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

Compensation

$200K – $400K + Offers Equity

This range reflects the expected compensation for this role. Compensation within the range is determined based on experience, skills, and the scope of responsibilities, with flexibility for candidates who demonstrate exceptional impact.

In addition to base salary, we offer competitive equity. Final compensation may vary based on location within the United States.