Full Stack Engineer (Agentic AI)

Fullstack Engineer

Project Description

WS1 is an initial workstream focused on building an AI / agentic capability on Azure using Python. The team will shape and deliver an early solution in partnership with the business, establishing the technical foundations, architecture, and product direction for the wider programme.

Role Description

We are seeking a highly skilled Senior Fullstack Developer with deep expertise in React and strong experience deploying applications to cloud platforms, ideally Microsoft Azure (AWS experience also welcome). This role will focus on building, deploying, and optimising scalable, high-performance web applications that handle large volumes of data and integrate AI-driven components. You will work closely with backend engineers, cloud specialists, and AI teams to deliver intelligent, production- ready applications at scale.

Key Responsibilities

• Design, build, and maintain scalable front-end applications using React, python and modern JavaScript/TypeScript. Build front-end solutions that support high data throughput, performance optimisation, and responsiveness at scale. Collaborate on the deployment of applications to cloud environments (Azure preferred; AWS acceptable). Integrate front-end applications with AI-powered services, including LLM-based APIs and workflows and Agentic AI systems Automation and orchestration services (particularly within Azure) Work with containerised environments (e.g. Docker) and contribute to cloud-native deployment pipelines. Support CI/CD processes and promote reliable, repeatable deployments.
  

Required Skills / Experience

• Extensive experience as a Senior fullstack Developer or similar role. Expert knowledge of React & Python, including modern patterns, hooks, state management, and performance optimisation. Proven experience deploying applications to cloud platforms, ideally Microsoft Azure. Experience integrating front-end applications with APIs, microservices, and distributed systems. Familiarity with container technologies such as Docker and container-based deployment models. Experience working on applications that handle large datasets or high-traffic environments. Strong understanding of front-end performance, observability, and optimisation techniques

GCS is acting as an Employment Business in relation to this vacancy.