Production-Ready AI Research Engineer (Equity)

Doist; San Francisco (CA); On-site; USD 200,000 - 400,000; Full time

Benefits offered by this job

Medical/Dental/Vision

Life Insurance

Disability Benefits

401K/Retirement

Parental Leave

Office lunches

Job summary

Decagon is hiring a Research Engineer to build industry-leading conversational AI models powering its enterprise agent. You’ll own multi-quarter initiatives to improve reliability, capability, and efficiency, and you’ll design frontier training and evaluation approaches.

You’ll ship end-to-end models, collaborate with platform and product engineers, and translate research ideas into concrete milestones, delivering measurable production impact at scale.

Qualifications

• 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

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.

Skills

AI/ML engineering

Python

LLM deployment

Research→ production

Tools

ML tooling

Job description

Decagon is hiring a Research Engineer to build industry-leading conversational AI models powering its enterprise agent. You’ll own multi-quarter initiatives to improve reliability, capability, and efficiency, and you’ll design frontier training and evaluation approaches.

You’ll ship end-to-end models, collaborate with platform and product engineers, and translate research ideas into concrete milestones, delivering measurable production impact at scale.