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# Full-Stack Software Engineer

- **Company:** Ameba
- **Location:** London, UK (Remote available)
- **Salary:** £80,000.0 - £130,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, C Sharp (Programming Language), C++ (Programming Language), Software Design Patterns, Protocol Buffers, Python (Programming Language), Machine Learning, Object-Oriented Software Development, Scala (Programming Language), Systems Architecture, TypeScript, Openapi, ReactJS, Large Language Models, Backend, Agentic-AI, Kotlin, Information Technology, Docker
- **Published:** October 25, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5221587316

## About the Role

* Minimum 3 years of experience as a software engineer.
 * 2+ years of experience with React/TypeScript and an Object-Oriented Programming Language (Java, Scala, Kotlin, C#, C++).
 * Proven experience in building and shipping software, involving collaboration with other engineers, designers, product managers, and users to identify and implement solutions based on customer needs.
 * 1+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and existing systems.

Desirable:

 * Undergraduate or Masters degree in Computer Science (or related fields).
 * Experience with AWS and Docker.
 * Interest in AI, and familiarity with building LLM-based agents.
 * Exposure to contract-first development (OpenAPI, gRPC/Protocol Buffers).
 * Ability to design scalable and efficient system architectures.
 * Ability to navigate rapidly changing priorities in a growing startup environment.
 * [Optional] Previous experience working at a startup or a keen interest in startups

## Description

As a Full-Stack Engineer, you will collaborate closely with our CTO and engineering team to design, build, and launch products from conception to launch. This involves working across the entire stack - from front-end (written in React/TypeScript), back-end (written in Kotlin and Python), machine learning (agentic workflows, entity matching), to infrastructure (AWS, Docker). Working at a startup so early, it's common to kick off a feature on Monday, and have users use it on Friday. You should be comfortable working with these tight feedback loops and long to build a product that users love. Don't worry if you lack experience in any of these areas - your application is still welcome!