About the job
As a Senior 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.
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.
Qualifications
Minimum
- 5+ 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
Preferred
No preferred qualifications listed.