Full Stack Engineer

Posted 2 Days Ago
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Hiring Remotely in Makati City, Metro Manila, National Capital Region, PHL
In-Office or Remote
Entry level
Cloud • Information Technology • Consulting • Cybersecurity
The Role
Build and deploy internal AI applications, including production-grade backend services, APIs, microservices, and web portals. Integrate proprietary data with LLM APIs and agent development frameworks, develop modern frontend interfaces, write tests, and support cloud deployments. The role requires independent delivery, secure and reliable code, familiarity with Python or Node.js, modern JavaScript or TypeScript frameworks, GCP, containerization, REST or GraphQL APIs, and basic Terraform.
Summary Generated by Built In

JOB SUMMARY


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.
  • Frontend: modern JavaScript/TypeScript frameworks.
  • 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 containerized 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).

Skills Required

  • Experience with Python and/or Node.js backend development
  • Experience with modern JavaScript or TypeScript frontend frameworks
  • Proven full stack experience writing and deploying robust services
  • Experience with modern cloud platforms, preferably Google Cloud Platform
  • Understanding of containerized deployments, such as Docker and Cloud Run
  • Strong experience building and consuming REST or GraphQL APIs
  • Ability to work independently and deliver tasks on time
  • Interest in working with LLMs and basic agentic systems
  • At least four hours of daily overlap with UK business hours
  • Professional working proficiency in written and spoken English at CEFR C1 or C2
  • General GCP experience including Cloud Run and Vertex AI
  • Basic Infrastructure as Code experience with Terraform
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The Company
HQ: Makati City
169 Employees
Year Founded: 2016

What We Do

DysrupIT is a technology consultancy that helps organizations understand their operations, make better use of existing technology, and build capabilities for future needs. Its work spans consulting, execution, managed services, and staff augmentation, with services including cloud, cybersecurity, application engineering, data analytics, and IT service management. The company also supports AI strategy and implementation, aiming to help clients transform, improve processes, and achieve business outcomes.

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