Founding AI Research Engineer (up to £140k)

Dex; Greater London; Presencial; GBP 75.000 - 110.000; Jornada completa

Descripción de la vacante

Dex in London is seeking researchers to lead end-to-end AI work building a living model of a person’s work history, capable of drafting replies and preparing for meetings in real time.

Join a small team of founders to tackle core AI memory and reasoning challenges, with in-person work at Elephant and Castle five days a week. You will own research from hypothesis through production deployment.

Formación

• PhD or proven track record of end-to-end technical leadership in a major project.
• 5+ years solving research-level NLP/LLM problems in academia or industry.
• Ability to implement and extend research papers into production-grade systems.

Responsabilidades

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

Conocimientos

Python

Cloud infrastructure

SQL

NoSQL

Educación

PhD in a relevant field

Herramientas

Python

Cloud infrastructure

SQL

NoSQL

Descripción del empleo

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.