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This is an early-career role for a developer who has started their professional journey in an AI-first world and wants to grow as an engineer at a fintech that is genuinely embedding AI into everything it builds. You will pair closely with senior engineers across our React frontend and Node.js backend services, ship real features to production, and use AI tools (LLMs, coding assistants, agents) as a natural part of how you work. We are not looking for someone who already knows everything. We are looking for someone curious, hungry to learn, and excited about building software in a team where AI is part of the toolkit from day one.
Job Responsibility
Work within an established VB and C# codebase to investigate, troubleshoot, and implement changes
Write and optimise SQL queries to extract and validate financial data, supporting investigations and reporting requests from Finance and Operations
Review the system from a user perspective to understand how business teams operate day-to-day, translating that into meaningful technical improvements
Write clear, maintainable documentation of system behaviour, business logic, and investigation findings
Actively build knowledge of financial concepts including lending, payments, and reconciliation, and surface problems you find, not just the ones you're assigned
Requirements
1-2 years of professional software development experience (internships, bootcamps, open source, or significant personal projects count)
Working knowledge of at least one of JavaScript/TypeScript, Node.js, or Python
Exposure to React or a similar modern frontend framework, and comfort with HTML and CSS
Basic understanding of REST APIs, databases (SQL or NoSQL), and version control with Git
Practical experience using AI tools in your work: AI coding assistants (such as Cursor, Copilot, Claude Code), prompt design, or basic LLM API integration (OpenAI, Anthropic, or similar)
A computer science, software engineering, or related technical background, or equivalent self-taught experience
Nice to have
A side project, hackathon entry, or learning project that uses LLMs, RAG, or AI agents in a non-trivial way
Any exposure to cloud (AWS/GCP/Azure), CI/CD pipelines, or automated testing
What we offer
Hybrid working. 3 days in office, 2 from home
Socials - lunches, drinks, snacks, table tennis, a properly stocked pantry, and the company of people you actually like
Employee Share Option Plan (ESOP). Share in Brighte's success
End-of-trip facilities for cyclists, including showers and towel service
Anniversary leave. An extra day off each year to mark your time with us