Full Stack Engineer

DysrupIT Pty; Makati; On-site; PHP 900,000 - 1,300,000; Full time

Job summary

DysrupIT Pty is seeking a Full Stack Engineer to build internal AI applications, APIs, and microservices. You will work with the Head of Engineering to translate requirements into reliable, scalable software, integrating LLM APIs and agent frameworks for internal platforms.

You should be comfortable delivering production-grade code, with strong Python/Node.js skills, front-end work, and cloud deployments on GCP. A self-starter with English proficiency and a keen interest in AI is essential.

Qualifications

• Solid full stack experience: proven experience writing and deploying robust services using Python or Node.js, alongside modern frontend frameworks (e.g. React, Vue, or TypeScript).
• Cloud familiarity: comfortable working within modern cloud platforms (preferably Google Cloud Platform) and understand containerised deployments (e.g. Docker, Cloud Run).
• API & integration skills: strong experience building and consuming REST or GraphQL APIs.
• Self-starter: comfortable picking up tasks and working independently to deliver them on time, asking for unblockers when necessary.
• AI interest: you don't need to be an AI researcher, but you should be excited to work with LLMs and basic agentic systems.
• UK time-zone overlap able to commit to at least 4 hours of daily overlap with UK business hours (09:00-17:00 GMT/BST).
• English proficiency: professional working proficiency in written and spoken English (CEFR C1/C2).

Responsibilities

• Hands-on development: focus primarily on writing production-grade code, building out specific features for internal platforms.
• Full-stack execution: build robust backend services and integrate them with clean, functional front-end interfaces for internal teams.
• API integration: connect proprietary data with cutting-edge LLMs using established APIs and emerging agent development frameworks.
• Testing and deployment: ensure delivered code is well-tested and plays nicely within existing cloud infrastructure.

Skills

Python

Node.js

React

TypeScript

REST APIs

GraphQL

CI/CD

Tools

Docker

Terraform

GCP

Cloud Run

Vertex AI

Job description

As a Full Stack Engineer, you'll be a key set of hands helping build out internal AI applications. You'll work closely with the Head of Engineering, taking well-defined requirements and turning them into highly available, reliable, secure, and performant APIs, microservices, and internal web portals.

This is a pure delivery role. Our client needs a self-starter who can pick up tickets, write clean code, and integrate standard web technologies with modern LLM APIs to help the business run smarter and faster.

JOB RESPONSIBILITIES

• Hands-on development: focus primarily on writing production-grade code, building out specific features for internal platforms.
• Full-stack execution: build robust backend services and integrate them with clean, functional front-end interfaces for internal teams.
• API integration: work with the Head of Engineering to connect proprietary data with cutting-edge LLMs using established APIs and emerging agent development frameworks.
• Testing and deployment: ensure delivered code is well-tested and plays nicely within existing cloud infrastructure.

QUALIFICATIONS

Technical Stack:

• Backend: Python and/or Node.js.
• Infrastructure: general experience with GCP (Cloud Run, Vertex AI) and basic Infrastructure as Code (Terraform).

Experience and Skills:

• Solid full stack experience: proven experience writing and deploying robust services using Python or Node.js, alongside modern frontend frameworks (e.g. React, Vue, or TypeScript).
• Cloud familiarity: comfortable working within modern cloud platforms (preferably Google Cloud Platform) and understand containerised deployments (e.g. Docker, Cloud Run).
• API & integration skills: strong experience building and consuming REST or GraphQL APIs.
• Self-starter: comfortable picking up tasks and working independently to deliver them on time, asking for unblockers when necessary.
• AI interest: you don't need to be an AI researcher, but you should be excited to work with LLMs and basic agentic systems.
• UK time-zone overlap able to commit to at least 4 hours of daily overlap with UK business hours (09:00-17:00 GMT/BST).
• English proficiency: professional working proficiency in written and spoken English (CEFR C1/C2).