Full Stack Software Engineer

• Design, build and maintain scalable applications, backend services and APIs
• Work across the full software development lifecycle, from technical discovery and design through to delivery and production
• Develop robust, production-ready solutions using modern engineering practices
• Work across a range of client environments, technologies and technical challenges
• Apply clean code, automated testing, CI/CD, observability and other modern engineering principles
• Build and integrate AI-enabled features, including LLM-powered services, RAG and agent-based workflows where appropriate
• Use AI-assisted development tools such as GitHub Copilot, Claude Code, Cursor or similar to improve engineering productivity
• Develop internal tools and reusable components to improve delivery and developer efficiency
• Work closely with clients, product, data and platform teams to deliver effective technical solutions
• Evaluate new technologies and approaches, adopting them where they provide clear value

• Strong software engineering experience building and maintaining production systems
• Solid understanding of system design, scalability, and performance considerations
• Experience developing backend services and APIs in modern tech stacks
• Exposure to, or strong interest in, AI technologies such as Large Language Models (LLMs), including API integrations or prompt-based workflows
• Experience leveraging tools like GitHub Copilot, Claude Code, Cursor, or similar AI-assisted engineering workflows.
• Proficiency in at least two modern programming languages
• Experience with version control, testing practices, and CI/CD pipelines
• Strong collaboration skills and experience working in cross-functional teams

Desirable:

• Experience integrating AI into production systems (e.g. chat interfaces, automation, intelligent search)
• Familiarity with Retrieval-Augmented Generation (RAG), vector databases, or embeddings
• Experience with cloud platforms (AWS preferred)
• Awareness of emerging AI tooling (e.g. MCP, A2A, Threads or similar)
• Open-source contributions or side projects, particularly involving scalable systems or AI

This role is best suited to software engineers who enjoy building reliable, scalable systems and are interested in applying AI to enhance real-world products and platforms.

• Salary £70,000 - £100,000
• Hybrid working model with remote flexibility
• Private healthcare
• Professional development and funded learning
• Opportunity to work on modern, AI-enabled systems at scale
• Clear progression within a growing engineering function