Founding AI Research Engineer (up to £140k)

Dex; Greater London; Presencial; GBP 90 000 - 130 000; Tempo integral

Resumo da oferta

Dex seeks researchers to lead the direction for core AI memory and reasoning systems. You’ll own end-to-end research, from hypothesis to production, in a small team of founders with doctorates, shaping a living model of a user’s work history and behavior.

You will implement novel retrieval, construct knowledge bases, and deploy real-time reasoning across messy data sources, working in person at Elephant and Castle.

Qualificações

• PhD or demonstrable end-to-end technical project at a company.
• 5+ years solving research-level problems in NLP/LLMs or related ML.
• Experience implementing and building upon current research papers.
• Experience delivering robust, scalable systems from research to production.
• Strong Python and cloud skills; comfortable with SQL and NoSQL databases.
• Willing to work in person in Elephant and Castle five days a week.

Responsabilidades

• Design and own retrieval and knowledge-base systems for a persistent living model.
• Develop reasoning models across diverse, messy data sources.
• Build real-time reasoning over live screen and application context.
• Take research from hypothesis to production, owning full lifecycle.

Conhecimentos

NLP/LLM research

Python

Cloud infrastructure

SQL

NoSQL

Formação académica

PhD or equivalent project

Descrição da oferta de emprego

This role is with one of Dex's trusted partner companies. We work closely with their teams to truly understand their culture, goals, and what they're looking for, so we can match you with the right opportunity and give you context about the role before you commit to a process.

The role

This company is building a proactive AI assistant that maintains a living model of a person's entire work history — emails, messages, meetings, documents. It acts on their behalf, drafting replies and preparing for meetings, all before being asked. The core challenge is building long-term memory that stays current, retrieving messy context across diverse sources, and reasoning about information live on screen. This is a genuinely unsolved problem in AI.

You will own the research direction for these core problems, working end-to-end from hypothesis to production. This is applied research, not a publication track: you won't hand off your work to an engineering team, nor will anyone else productionise it for you. The team is small, composed of repeat founders with doctorates, and they are hiring multiple people into this foundational role.

The work

• Design and implement novel retrieval and knowledge-base systems for a persistent, living model of user context.
• Develop and deploy reasoning models that operate across diverse, messy data sources.
• Build models capable of real-time reasoning over live screen and application context.
• Take research from initial hypothesis and experimentation through to robust, production-ready systems, owning the entire lifecycle.

What You Bring

• A PhD or personally owned a hard, end-to-end technical project at a company.
• 5+ years solving research-level problems in NLP, LLMs, or adjacent ML, in academia or industry.
• You implement and build upon current research papers, not just apply existing libraries.
• You've run both halves of the work: forming and testing hypotheses, and building robust, scalable systems.
• Strong Python, comfortable with cloud infrastructure, and both SQL and NoSQL databases.
• Work in person in Elephant and Castle five days a week.