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Founding Full-Stack Engineer

Rulebase (YC F24)

London

On-site

USD 80,000 - 150,000

Full time

4 days ago

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Job summary

A leading technology company is seeking a Founding Full-Stack Engineer to help develop core infrastructure for real-time QA and compliance in customer service. This role involves a mix of frontend and backend development, as well as contributions to machine learning and infrastructure. The ideal candidate will have robust experience in React, Ruby on Rails, and AWS, eager to build impactful solutions in a dynamic team.

Qualifications

Experience with frontend technologies like React or Electron.js is desired.
Familiarity with backend development in Ruby on Rails is essential.
Knowledge of machine learning concepts and Python programming would be advantageous.
Experience in cloud infrastructure, AWS, or DevOps practices is a plus.

Responsibilities

Implement UI designs and product flows in the web dashboard and desktop app.
Design APIs and manage data models for the SaaS backend.
Contribute to machine learning systems for anomaly detection.
Support CI/CD pipelines and cloud deployment for scalability.

Skills

Frontend (React / Electron.js)

Backend (Ruby on Rails)

Machine Learning (Python)

Infrastructure (AWS / DevOps)

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This range is provided by Rulebase (YC F24). Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$80,000.00/yr - $150,000.00/yr

Skills

As a Founding Full-Stack Engineer at Rulebase, you’ll contribute to building the core infrastructure that powers real-time QA and compliance for customer service teams. Depending on your interests and skills, your work may include:

Frontend (React / Electron.js): Implement UI designs and product flows across our web dashboard and desktop agent app. Ensure responsive, accessible interfaces that deliver insights clearly and efficiently to end users.
Backend (Ruby on Rails): Help build and extend our SaaS backend—designing APIs, managing data models, and maintaining systems that securely store and query large volumes of interaction data.
Machine Learning (Python): Contribute to our anomaly detection and real-time risk classification systems. Work on model pipelines that process customer service interactions and surface insights and issues.
Infrastructure (AWS / DevOps): Support CI/CD pipelines, cloud deployments, and observability tooling. Work on automating testing, monitoring, and scaling of key services in a secure and compliant AWS environment.

Seniority level

Seniority level
Entry level

Employment type

Employment type
Full-time

Job function

Job function
Engineering and Information Technology
Industries
Technology, Information and Internet

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