AI-Integrated Full-Stack Engineer — 12-Week Contract

66degrees; United Kingdom; On-site; GBP 83,000 - 124,000; Full time

Job summary

66degrees is seeking a highly skilled Full Stack Engineer for a 12-week contract on a GCP-based AI integration project. You will bridge a React/TypeScript frontend with a Python/FastAPI backend, and connect to Vertex AI Gemini models for automated data extraction and risk assessment.

You will deploy on Cloud Run, manage Firestore and BigQuery usage, and implement enterprise-grade SSO with IAP and Entra ID, complemented by CI/CD pipelines in Azure DevOps. Start date October 5th.

Qualifications

• Frontend: React and TypeScript.
• Backend: Python with FastAPI experience.
• GCP serverless: Cloud Run and Cloud Run Jobs.
• Databases: Firestore and BigQuery for analytics.
• AI/LLMs: Vertex AI / Gemini integration in prod apps.
• Identity & Access: SSO via IAP, Entra ID.
• DevOps: CI/CD with Azure DevOps to GCP.

Responsibilities

• Frontend Development: build responsive UIs with React and TypeScript.
• Backend & API Development: design scalable Python/ FastAPI services.
• Cloud-Native Deployment: containerise and deploy on GCP Cloud Run.
• Data Pipelining: manage asynchronous data processing with Cloud Run Jobs.
• AI/ML Integration: connect to Vertex AI Gemini for extraction and risk assessment.
• Database Management: use Firestore and BigQuery for state and analytics.
• Security & Authentication: implement SSO via IAP and Entra ID.
• DevOps & CI/CD: optimise pipelines in Azure DevOps for GCP.

Skills

React

TypeScript

Python

FastAPI

Cloud-native architecture

CI/CD

Tools

Google Cloud Run

Cloud Run Jobs

Vertex AI

Firestore

BigQuery

IAP

Microsoft Entra ID

Azure DevOps

Cloud Run

Job description

66degrees is seeking a highly skilled Full Stack Engineer for a 12-week contract on a GCP-based AI integration project. You will bridge a React/TypeScript frontend with a Python/FastAPI backend, and connect to Vertex AI Gemini models for automated data extraction and risk assessment.

You will deploy on Cloud Run, manage Firestore and BigQuery usage, and implement enterprise-grade SSO with IAP and Entra ID, complemented by CI/CD pipelines in Azure DevOps. Start date October 5th.