Founding AI Research Engineer: Real-Time Memory LLMs

Dex; Greater London; On-site; GBP 70,000 - 120,000; Full time

Job summary

Dex is partnering with a company building a proactive AI assistant that maintains a living model of a person’s work history, and acts on their behalf. The team aims to handle long-term memory, retrieve messy context, and reason live on screen across diverse sources.

You will design retrieval systems, develop reasoning models, and own the end-to-end lifecycle from hypothesis to production, using Python and cloud infrastructure in a hands-on role based in Elephant and Castle, five days a week.

Qualifications

• PhD or equivalent end-to-end technical project at a company.
• 5+ years solving research-level NLP/LLM problems in academia or industry.
• Implement and build upon current research papers, not just apply libraries.
• Experience forming/testing hypotheses and building robust, scalable systems.

Responsibilities

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

Skills

Python

NLP/LLMs

Cloud infra

SQL/NoSQL

Research & prototyping

Education

PhD in CS/ML

Tools

PyTorch

Docker

Job description

Dex is partnering with a company building a proactive AI assistant that maintains a living model of a person’s work history, and acts on their behalf. The team aims to handle long-term memory, retrieve messy context, and reason live on screen across diverse sources.

You will design retrieval systems, develop reasoning models, and own the end-to-end lifecycle from hypothesis to production, using Python and cloud infrastructure in a hands-on role based in Elephant and Castle, five days a week.