Research Engineer: Production-Ready AI + Equity

Decagon AI, Inc.; San Francisco (CA); On-site; USD 200,000 - 400,000; Full time

Benefits offered by this job

Take what you need vacation

Medical, Dental, Vision benefits

401K/retirement

Parental Leave

Fertility benefits

Daily lunches

Job summary

Decagon AI, Inc. is seeking a Research Engineer to build industry-leading conversational AI models powering Decagon's agent from idea to production.

You will own multi-quarter initiatives that push reliability, capability, and efficiency forward, and you will design and implement frontier approaches for training, evaluation, and orchestration across the system. We're looking for strong engineers who want to own their work end-to-end, ship real improvements, and be trusted to make high-impact

Qualifications

• 2+ years of experience in AI/ML engineering or research.
• 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 to measurable production impact.

Responsibilities

• Lead research and engineering efforts to improve core conversational capabilities in production.
• Build and iterate on end-to-end models and pipelines that optimize 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

Research

Python

Production deployment

Model evaluation

Job description

Decagon AI, Inc. is seeking a Research Engineer to build industry-leading conversational AI models powering Decagon's agent from idea to production.

You will own multi-quarter initiatives that push reliability, capability, and efficiency forward, and you will design and implement frontier approaches for training, evaluation, and orchestration across the system. We're looking for strong engineers who want to own their work end-to-end, ship real improvements, and be trusted to make high-impact