Founding AI Research Engineer (up to £140k)

Dex; Greater London; Presencial; GBP 90.000 - 150.000; Jornada completa

Descripción de la vacante

Dex is partnering to build a proactive AI assistant that maintains a living model of a person’s work history, drafting replies and preparing for meetings with real-time reasoning across diverse sources. The role focuses on retrieval, knowledge-base systems and scalable, production-ready implementations.

The candidate will bring a PhD or equivalent project experience, 5+ years in NLP/LLMs, and strong Python skills, with comfort in cloud infra and SQL/NoSQL databases.

Formación

• PhD or equivalent end-to-end technical project experience.
• 5+ years solving research-level problems in NLP, LLMs, or adjacent ML.
• Implement and build upon current research papers, not just apply libraries.
• Run both hypothesis formation/testing and building robust systems.
• Strong Python, comfortable with cloud infrastructure, and SQL/NoSQL databases.

Responsabilidades

• Design and implement novel retrieval and knowledge-based systems for a 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.
• Own the full lifecycle from hypothesis to production, end-to-end.

Conocimientos

Python

NLP/LLMs

Cloud infrastructure

SQL

NoSQL

Educación

PhD or equivalent project experience

Herramientas

SQL databases

NoSQL databases

Cloud platforms

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.

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.

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