Full Stack Engineer

eBSI Export Academy; United States; A distancia; USD 110.000 - 160.000; Jornada completa

Descripción de la vacante

eBSI Export Academy is seeking a Full Stack Engineer to help build internal AI applications. You will work with the Head of Engineering to turn well-defined requirements into reliable APIs, microservices, and internal portals.

The role emphasizes a self-starter who can pick up tickets, write clean code, and integrate standard web technologies with modern LLM APIs to improve business efficiency. UK time-zone overlap is required.

Formación

• Solid full stack experience with production-grade services.
• Experience building and deploying robust backend and frontend interfaces.
• Familiarity with REST or GraphQL APIs and cloud deployments.

Responsabilidades

• Hands-on development focused on features for internal platforms.
• Build robust backend services and integrate with frontend interfaces for internal teams.
• Connect proprietary data with LLM APIs and agent frameworks.
• Ensure code is well-tested and aligns with existing cloud infrastructure.

Conocimientos

Full stack development

APIs

LLM integration

Self-starter

English proficiency

Herramientas

Python

Node.js

React

TypeScript

GCP

Terraform

Docker

Descripción del empleo

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).

Originally posted on Himalayas