AI-Powered Full-Stack Engineer for Fintech Platform

Referment; Greater London; Hybrid; GBP 110,000 - 140,000; Full time

Job summary

Referment is seeking a full‑stack engineer to own features end‑to‑end across the full SDLC within a regulated, AI‑driven fintech environment. You will work across Ruby, Node and Go, with modern frontends, in a large monolith on AWS using ECS/EKS and GitHub CI.

You will convert product specs into precise engineering specs for AI Assisted delivery, and improve documentation and architecture to guide AI code assistants, while maintaining strict governance and security controls.

Qualifications

• Experience across multiple languages in large monoliths.
• Proven AI‑driven development workflow.
• Ability to translate product specs into engineering specs for AI tooling.
• Experience with secure coding in regulated environments.
• Strong product sense and ownership.

Responsibilities

• Own features end-to-end across the full SDLC: design, build, test, deploy and support.
• Contribute across Ruby, Node and Go, with frontend work in modern frameworks.
• Use AI tooling as a core part of building, reviewing and QA.
• Refactor and document to improve AI guidance and code quality.
• Convert product specifications into precise engineering specs for AI delivery.

Skills

Full SDLC experience

AI-driven development workflow

Ownership & unblocking

Regulated domain familiarity

Frontend skills

AWS experience

Documentation for AI

Education

Bachelor's degree in Computer Science or related field

Tools

Ruby

Node.js

Go

Frontend frameworks

AWS (ECS/EKS)

GitHub CI

MySQL / PostgreSQL

Job description

Referment is seeking a full‑stack engineer to own features end‑to‑end across the full SDLC within a regulated, AI‑driven fintech environment. You will work across Ruby, Node and Go, with modern frontends, in a large monolith on AWS using ECS/EKS and GitHub CI.

You will convert product specs into precise engineering specs for AI Assisted delivery, and improve documentation and architecture to guide AI code assistants, while maintaining strict governance and security controls.