Founding AI Research Engineer – On-Site Real-Time LLMs

Dex; Greater London; On-site; GBP 80,000 - 140,000; Full time

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Education

PhD

Tools

SQL

NoSQL

Python

Cloud infrastructure

Job description

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.