About the Team

Read more about the research team's work here: https://decagon.ai/blog/introducing-decagon-labs

The Research team develops the model and decision-making stack that powers Decagon's conversational agents for enterprise support. We research, adapt, and implement state-of-the-art techniques in model training, prompting, orchestration, and evaluation in order to make our agents more accurate, robust, and efficient in real-world deployments.

Our goal is to push the frontier of applied conversational AI: agents that reliably understand nuanced intent, track long context, and take the right actions under uncertainty. We measure success the way customers feel it: higher resolution rates, better user satisfaction, and consistent behavior at scale.

About the Role

As a Staff 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.
• Mentor other researchers/engineers, set technical direction, and establish best practices for applied research and engineering

Your background looks something like this

• 8+ 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 12 reliable, measurable production impact
• Ability to define a roadmap, break ambiguity into milestones, and lead cross-functional execution

Compensation

$325K - $425K + Offers Equity

Benefits

We proudly offer the following benefits for our full-time employees:

• Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave)
• Medical, Dental, and Vision benefits for you and your family
• Life Insurance and Disability Benefits
• Retirement Plan (e.g., 401K, pension)
• Parental Leave
• Fertility and family building benefits through Carrot
• Daily lunches and snacks in the office to keep you at your best

These benefits are described in more detail in Decagon's policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.