Basic

AI Engineer

london (city of london), south east england, United Kingdom Company: JR UK Client / Employer: trg.recruitment
Posted: 20.05.2026
Closing date: 04.07.2026
Job reference: d85db76f8a7aeaf9519510b9d4ac7aac

Job information

Location
london (city of london), south east england, United Kingdom
Company
JR UK
Client / Employer
trg.recruitment
Job reference
d85db76f8a7aeaf9519510b9d4ac7aac
Listing type
Basic
EU work permit required
No
Posted
20.05.2026
Closing date
04.07.2026

Job description

🚀 AI Founding Engineer (Full-Stack) | London | Hybrid | Equity

💰 £70–100k + equity | 3-stage interview process


I'm working with a fast-scaling, mission-driven B2B SaaS company transforming how organisations in a regulated, high-stakes industry handle compliance - cutting months of work down to days.


They're hiring their next foundational engineering hire. You'll take full ownership of the core AI architecture - spanning agentic workflows, embeddings, low-latency chat, inference tooling and evals - while working across the full stack to ship features end-to-end and shape technical direction alongside the founders.


What we're looking for:

→ 2–3+ years of production engineering experience, ideally in B2B SaaS

→ 1+ year shipping AI features in a live product

→ Strong TypeScript, Next.js, GCP (Vertex AI / Firebase a plus)

→ Bonus: experience in compliance-heavy domains (healthtech, fintech, security)


If this sounds like you, apply directly or drop me a DM.

Skills

Agile Project Management Algorithms analyse big data analyse business requirements apply ICT systems theory apply systemic design thinking Artificial Neural Networks Assembly (computer programming) assess ICT knowledge build business relationships build predictive models build recommender systems Business Analytics Business Intelligence business process modelling C COBOL CoffeeScript Common Lisp computer programming Computer Simulation Computer Vision create data sets creatively use digital technologies Data Mining Data Models Data Science database development tools Deep Learning define technical requirements deliver visual presentation of data design application interfaces design database scheme design process develop creative ideas develop statistical software digital data processing Erlang Groovy Haskell ICT project management methodologies identify processes for re-engineering Information Architecture information categorisation Information Extraction information structure Java (computer programming) JavaScript lean project management LINQ Lisp manage business knowledge manage ICT data classification manage ICT semantic integration Matlab Microsoft Visual C++ ML (computer programming) N1QL Objective-C OpenEdge Advanced Business Language operational research Pascal (computer programming) perform dimensionality reduction Perl PHP principles of artificial intelligence Process-based management Prolog (computer programming) Python (computer programming) R resource description framework query language Ruby (computer programming) SAP R3 SAS language Scala Scratch (computer programming) Smalltalk (computer programming) SPARQL Swift (computer programming) systems development life-cycle task algorithmisation TypeScript Unstructured Data use data processing techniques utilise machine learning VBScript Visual Basic visual presentation techniques

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