Decagon
Research Engineer
$200K–$400K
San Francisco +1 · On-site · Full-time · Posted Jul 22, 2026
- Location
- San Francisco
New York City - Experience
- 2+ years of experience in AI/ML engineering or research.
About the job
Build and bring conversational AI models and algorithms from research through production to improve Decagon’s agents’ reliability, capabilities, and efficiency.
What you'll do
- Improve production conversational capabilities, including instruction following, retrieval, memory, and long-horizon task completion.
- Build and iterate on end-to-end models and pipelines; integrate new models into production with platform and product engineers.
- Turn ambiguous research ideas into milestones and roadmaps.
What they ask for
- Prior experience post-training and deploying LLMs in production environments.
- Fluency in Python and modern ML tooling for training, evaluation, and data pipelines.
- Track record of taking research ideas from prototype to reliable, measurable production impact.
Pay
$200K – $400K USD base salary
Tools
Python, LLMs
AI focus
Research, adapt, train, evaluate, and orchestrate conversational AI models and agents, including work on instruction following, retrieval, memory, and long-horizon task completion.
Model-written summary · the original posting is authoritative