AI Software Engineer UK

About Us We are looking for a talented Finance Assistant Controller to join our fast-growing Fintech scale-up. Sharegain is a leading capital markets FinTech democratizing the $4 trillion securities lending market through our unique Securities Lending as a Services (SLaaS) solution, which empowers every investor with income generating solutions that were previously restricted to big financial institutions. Sharegain's end-to-end digital solution combines full control and transparency with minimal overheads or up-front costs, enabling online brokers, private banks, asset managers and custodians to lend their stocks, bonds and ETFs, and generate additional revenue for their own business and their clients. About the role We are looking for an experienced AI software 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. Responsibilities:

• 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 Requirements:
• 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