Senior Research Engineer

Decagon; Greater London; On-site; GBP 200,000 - 300,000; Full time

Benefits offered by this job

Medical, dental, and vision benefits

Take what you need vacation policy

Daily lunches, dinners, and snacks

Job summary

A leading AI platform company in Greater London is seeking a Senior Research Engineer to develop and implement cutting-edge conversational AI models. This role involves leading research efforts, building end-to-end systems, and integrating new models into production systems. Candidates should have over 5 years of experience in AI/ML engineering and proficiency in Python. The position offers a competitive salary of £200K - £300K plus equity.

Qualifications

• 5+ years of experience in AI/ML engineering or research.
• Experience deploying LLMs in production environments.
• Fluency in Python and modern ML tooling.

Responsibilities

• Lead research and engineering efforts to improve core conversational capabilities.
• Build and iterate on end-to-end models and pipelines.
• Partner with platform and product engineers for integration.
• Break down ambiguous research ideas into clear milestones.

Skills

AI/ML engineering

Python

LLM deployment

Modern ML tooling

Job description

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About Decagon

Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.

Our technology enables industry-defining enterprises like Avis Budget Group, Block's Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.

We're building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We're proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.

We're an in-office company, driven by a shared commitment to excellence and velocity. Our values - Just Get It Done, Invent What Customers Want, Winner's Mindset, and The Polymath Principle - shape how we work and grow as a team.

About the Team

The Research team develops the model and decision-making stack that powers Decagon's conversational agents for enterprise support. We research, adapt, and implement state-of-the-art techniques in model training, prompting, orchestration, and evaluation in order to make our agents more accurate, robust, and efficient in real-world deployments.

Our goal is to push the frontier of applied conversational AI: agents that reliably understand nuanced intent, track long context, and take the right actions under uncertainty. We measure success the way customers feel it: higher resolution rates, better user satisfaction, and consistent behavior at scale.

About the Role

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.

We're looking for strong engineers who want to build the core models and algorithms behind our AI agents. People here own their work end-to-end, ship real improvements, and are trusted to make high-impact technical decisions.

In this role, you will

• 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.

Your background looks something like this

• 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

Benefits

• Medical, dental, and vision benefits
• Take what you need vacation policy
• Daily lunches, dinners and snacks in the office to keep you at your best

Compensation

£200K - £300K + Offers Equity