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# Full Stack Software Engineer

- **Company:** Ai.
- **Location:** UK
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Application Lifecycle Management, Microsoft Azure, Cloud Computing, Machine Learning, Rapid Prototyping Process, Software Deployment, TypeScript, Web Application Frameworks, Cloud Platform System, ReactJS, Backend, Fastapi, Vue.js, Front End Software Development, Data Pipelines, Docker
- **Published:** September 5, 2026
- **Apply:** https://startup.jobs/full-stack-software-engineer-faculty-9923352

## About the Role

* You possess solid backend development skills in Python frameworks (such as FastAPI) and are comfortable managing the full application lifecycle.
 * You have full-stack experience and exposure to TypeScript and modern frontend frameworks like React or Vue
 * You have experience deploying software within cloud environments like AWS, Azure, or GCP, ideally using containerisation tools like Docker.
 * You demonstrate a scientific and pragmatic mindset, testing assumptions and balancing big-picture vision with the technical details required for execution.
 * You know how to maintain a balance between rapid prototyping and long-term maintainability.
 * You thrive in autonomous, fast-paced environments where you can take full ownership of problems.
 * You are a compelling communicator who enjoys working in a team-oriented culture and has a relentless drive to learn and apply novel technologies.

## Description

As a Full Stack Software Engineer, you will collaborate with cross-functional teams to build and scale AI-powered systems that solve unique challenges for global clients.

This is an opportunity to take ownership of the entire stack, turning sophisticated machine learning outputs into high-impact, production-ready solutions that drive real-world transformation.

What you'll be doing:

 * Working in cross-functional teams, alongside Data Scientists and Product Managers, to deploy technically sophisticated, high-impact software.
 * Building reliable, and scalable frontend and backend architectures to enable the seamless delivery of advanced AI systems.
 * Building data pipelines and cloud infrastructure as part of wider AI systems.
 * Providing deep technical expertise to customers, helping them navigate complex requirements., A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI.


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