You will work closely with our CTO, data-science team and product colleagues, contribute to important technical decisions and own work from discovery through to production. You will see customers use what you build and help establish the engineering foundations for the next stage of our growth. The role suits someone who cares about user experience and software quality, enjoys solving ambiguous problems and can balance pace with the security and reliability expected in regulated financial services.

What You Will Do

• Design, build and improve product features across our React front end and Python back end.
• Develop reliable services and APIs backed by PostgreSQL and integrated with external data and productivity platforms.
• Build responsive, accessible interfaces that make complex client and investment information easy to understand and use.
• Work with product, data science and customers to understand problems, test assumptions and ship useful solutions.
• Integrate AI and machine-learning capabilities into dependable user workflows, with appropriate review, traceability and controls.
• Maintain infrastructure on AWS using Terraform and contribute to observability, performance, resilience and cost management.
• Work confidently with customers to understand their needs, translate them into clear technical problems and help bridge the gap between customer requirements and product development.
• Deliver clean, maintainable, well-tested software, using AI and other development tools where appropriate while taking full responsibility for the quality of the output.
• Review code, improve engineering practices and help the team make sound technical decisions as the platform scales.
• Investigate production issues, communicate clearly and follow problems through to resolution.

What We Are Looking For

• Strong software-engineering fundamentals and experience shipping production software.
• Experience building modern web applications with React and TypeScript or JavaScript.
• Experience with Python or a similar programming language, along with a modern back-end framework such as FastAPI, Django, Flask, or an equivalent framework in another language.
• Strong initiative and the confidence to work independently, make progress and bring people in when their input is needed.
• A sound understanding of API design, relational data modelling and PostgreSQL or a similar database.
• Experience with automated testing and a practical approach to quality.
• Familiarity with cloud infrastructure and deployment, ideally AWS and infrastructure as code.
• The ability to take ownership, communicate trade-offs and collaborate well across technical and non-technical teams.
• Comfort working in a startup where priorities evolve and people contribute beyond narrow role boundaries.

Useful Additional Experience

You do not need to have all of these, but any of the following would be valuable:

• Building products that use LLMs, retrieval, structured generation or machine-learning services.
• Working with document processing, financial data, integrations or data-heavy workflow products.
• Security, privacy, auditability or compliance requirements in regulated environments.
• Terraform, CI and CD pipelines, monitoring and production operations.
• Early-stage product development and direct collaboration with customers.

What We Offer

• 25 days of annual leave, plus 9 UK bank holidays.
• A remote-first working environment, with regular opportunities to work together in person.
• Significant ownership and the opportunity to shape the product, technical approach and ways of working.
• Direct access to experienced company and technical leaders, with scope to grow as Afternoon grows.
• A benefits package that will continue to develop with input from the team.

How to Apply

Please send your CV to the Eden Scott team with a short note explaining what interests you about Afternoon and the problems you would like to help us solve. We welcome candidates whose experience does not match every point but who can demonstrate strong judgement, learning ability and relevant impact.