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# AI Engineer London

- **Company:** Sharegain
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Command-Query Responsibility Segregation (Software Development), Data Structures, Software Architecture, Software Engineering, Systems Architecture, Test-Driven Development (TDD), Large Language Models, Gitlab, Kubernetes, Production Code, Event Sourcing, Software Performance, Software Version Control, Docker, Microservices
- **Published:** June 20, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=6ed7b4079035f8c6

## About the Role

Do you have experience in Test-driven development?, Do you have a Master's degree?, * 6+ years of software development experience

 * Proven LLM experience: write, optimize, and measure the effectiveness of AI prompts and applications. Rapidly experiment with models, prompts, and architectures using structured evaluation to identify the best solutions, and translate cutting-edge LLM capabilities into reliable, production-grade systems.

 * Strong software engineering fundamentals: SOLID, TDD, version control systems (Git/GitHub/GitLab), and the ability to write production-ready code

 * Deep understanding of Computer Science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance

 * Familiarity with software architecture patterns such as microservices, CQRS, and event sourcing

 * Experience with at least one major cloud provider (AWS, Azure, or GCP)

 * Experience with Kubernetes and Docker containers

 * Experience designing and building microservices architecture

 * A team player with a positive attitude and a problem-solver mindset

## Description

We are looking for an experienced AI Engineer to join our R&D team. You will be delivering scalable web applications from idea to production, taking care of all aspects of software development - from technologies and security to scalability and reliability., * End-to-end ownership of AI & agent systems: take full ownership of your features from architecture and design through to implementation and production, including AI-native features such as autonomous agents and intelligent workflows. Own the full model quality lifecycle from experimentation through to production monitoring and improvement.

 * Cloud infrastructure: be part of the design, maintenance, monitoring, and troubleshooting of our cloud applications.
 * Technical excellence: drive technical excellence, high product quality, innovation, and timely delivery in a production-critical environment.
 * Translate business needs into concrete system architecture and implement it end-to-end across the stack


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