Full Stack Engineer

Gary Myatt Ltd; Little London; Remote; GBP 80,000 - 100,000; Part time

Job summary

A leading technology firm is seeking two experienced Full Stack Engineers to work on a cutting-edge AI project aimed at transforming clinical protocol management. The role involves developing integrated features into an AI platform using Azure, Python, and Jinja2. This fully remote position offers a competitive rate of £250-£275 per day for a 6-month contract, with possible extension.

Qualifications

• Proven Full Stack Development experience required.
• Strong knowledge of Azure cloud architecture and deployment is essential.
• Experience with SaaS applications for enterprise-level is crucial.

Responsibilities

• Develop and integrate protocol creation features into an AI platform.
• Build front-end components and document generation templates.
• Implement secure data pipelines and business logic.

Skills

Proven Full Stack Development experience

Strong knowledge of Azure cloud architecture

Experience with SaaS applications

Background in AI or data processing

Tools

Python

Jinja2

Databricks

SQL

Job description

Overview

Role: 2x Full Stack Engineers

Location: Fully Remote (UK-based)

Rate: £250-£275 per day (Outside IR35)

Contract Length: 6-Months (Possible Extension)

About The Role

Were seeking two experienced Full Stack Engineers to join a team developing an automatedclinicaltrial protocol creation tool, integrated with an AI-powered documentation platform. The software will be deployed as a SaaS solution within Azure, designed to streamline protocol drafting, improve consistency, and reduce errors in clinical documentation.

Responsibilities

• Develop and integrate protocol creation features into an AI platform
• Build front-end components, document generation (DOCX via Jinja2), and template logic
• Implement secure data pipelines (Study Builder API, Databricks integration)
• Develop backend content databases and business logic
• Support validation, testing, and optimization phases
• Manage Azure-based deployment and SaaS delivery

Tech Stack

• Cloud: Azure (deployment, integration, hosting)
• Languages/Frameworks: Python, Jinja2, API development
• Data: Databricks, SQL, role-based data ingestion pipelines
• Delivery: SaaS, CI/CD pipelines

Required Experience

• Proven Full Stack Development experience
• Strong knowledge of Azure cloud architecture and deployment
• Experience with SaaS and enterprise-scale applications
• Background in AI, data processing, or regulated industries is advantageous

Interested?

Apply now to be part of a cutting-edge AI project transforming how clinical protocols are created and managed.