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Full Stack Engineer

Listing for: DysrupIT
Full Time position Listed on 2026-11-07
Job specializations:
  • Software Development
    Full Stack Developer, Backend Developer, Cloud Engineer - Software, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 110000 - 160000 USD Yearly USD 110000.00 160000.00 YEAR

Job Description & How to Apply Below

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/Type Script 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 Type Script).
  • 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).

Originally posted on Himalayas

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