Research Engineer

Arrows; Greater London; Hybrid; GBP 63,000 - 77,000; Full time

Benefits offered by this job

Opportunity to build deep tech AI model

Founding engineer responsibility

Substantial equity

Genuine ownership

Job summary

A pioneering tech start-up in London is seeking a Founding Applied Research Engineer to design knowledge graphs and build advanced information retrieval systems. This role offers the opportunity to influence foundational AI technology within a small, ambitious team. The ideal candidate will have a strong academic background and experience in knowledge graphs and information retrieval. The position includes a hybrid working model and a competitive salary up to £70k plus substantial equity.

Qualifications

• Strong academic background from a leading university.
• Experience with knowledge graphs and information retrieval is essential.
• Clear evidence of success in high ownership projects.

Responsibilities

• Design knowledge graphs
• Build advanced information retrieval systems
• Create robust information extraction pipelines
• Translate research into production infrastructure

Skills

Knowledge graphs

Information retrieval

Research and development skills

Ownership in projects

Education

Strong academic background from a leading university

Job description

Applied Research Engineer | Early Stage Deep Tech Start Up | London

I am partnered with an early stage, London based start up that is building an AI native intelligence layer for private market investing. The platform transforms fragmented documents, deal histories, and proprietary investment data into structured, searchable intelligence for private equity, venture capital, and private credit teams.

They are hiring a Founding Applied Research Engineer to join at early stage, with real ownership of the depth of knowledge and retrieval infrastructure. This role suits someone with a strong academic background from a leading university, alongside clear evidence of success in high ownership projects. Experience with knowledge graphs and information retrieval is essential:

Responsibilities

• Design knowledge graphs
• Build advanced information retrieval systems
• Create robust information extraction pipelines
• Translate research into production infrastructure

On offer

• The opportunity to build a deep tech AI model and conduct original, applied research
• Founding engineer responsibility with high visibility and influence
• Hybrid working model in London
• Salary up to £70k plus substantial equity
• Genuine ownership over what is built from day one

If you meet the above criteria and want to help build foundational AI technology within a small, ambitious team, please get in touch.