Compared with the selected benchmark ("All roles in London, United Kingdom"), this listing's salary midpoint is about 113% higher. The offer sits above the benchmark range (€3,847–€15,737). The listed pay band (€16,667–€25,000) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 10 comparable listings.

Monthly salary comparison for Research Engineer
Market	Lower bound (25th percentile)	Median	Upper bound (75th percentile)
All roles in London, United Kingdom	€3,847/per month	€7,124/per month	€15,737/per month

About the role

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises to deploy AI agents that power personalized interactions across voice, chat, email, SMS, and more. We’re an in-office company with values: Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle. About the Team: The Research team builds the model and decision-making stack powering Decagon’s conversational agents for enterprise support. About the Role: As a Senior Research Engineer, you’ll build industry-leading conversational AI models from idea to production, own multi-quarter initiatives, and design frontier approaches for training, evaluation, and orchestration. Your background includes 5+ years in AI/ML, production deployment of LLMs, Python proficiency, and a track record of turning research into measurable impact. Compensation: £200K – £300K + Equity. Benefits: Medical, dental, vision, life insurance, retirement, parental leave, fertility benefits, wellness stipend, daily lunches, and a generous vacation policy. Apply for this Job.

Job Details

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.