Founding AI Research Engineer (up to £140k)

Dex; Greater London; Presencial; GBP 80.000 - 140.000; Jornada completa

Descripción de la vacante

Dex collaborates with a trusted partner company to build a proactive AI assistant that maintains a living model of a person’s work history, emails, messages, meetings, and documents. The role leads research direction from hypothesis to production, focusing on long-term memory, cross-source retrieval, and live reasoning as the core challenge.

You will own the research lifecycle, working with a small team of repeat founders with doctorates.

Formación

• PhD or equivalent demonstrated by a significant end-to-end technical project.
• 5+ years solving research-level problems in NLP/LLMs or adjacent ML in academia or industry.
• Ability to implement and build upon current research papers, not just apply existing libraries.
• Experience forming and testing hypotheses and building robust, scalable systems.
• Strong Python, comfortable with cloud infrastructure, and both SQL and NoSQL databases.
• In-person work at Elephant and Castle, five days a week.

Responsabilidades

• 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 hypothesis and experimentation through to production, owning the lifecycle.

Educación

PhD

Herramientas

SQL

NoSQL

Python

Cloud infrastructure

Descripción del empleo

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.