Full Stack Engineer in London

We’re hiring a Full Stack Engineer who wants to take ownership in a fast-scaling startup.

About Clariti AI:

Clariti AI is a B2B SaaS company providing price optimisation software to retail banks. We help banks make pricing decisions on products like mortgages and savings. Our pricing software guides clients to price recommendations that are worth millions of Pounds or Euros in additional revenue. This is an exciting time to join the company, with a growing set of clients in the UK and Ireland. After recent successes, Clariti AI has built a very promising pipeline of new clients, with revenues expected to double in the next year and the team to grow rapidly. The company is bootstrapped (no VC or angel investment) and is already very profitable.

Clariti AI is hiring a product-focused Full Stack Engineer to take ownership of our client‑facing pricing tools. Our software is used by banks and building societies to make high‑value pricing decisions across products such as mortgages and savings. These tools are the face of Clariti AI: they need to be fast, intuitive, reliable and commercially useful.

This is a broad role. You will not simply be handed finished designs and asked to convert them into code. You will work closely with clients, data scientists and the wider Clariti AI team to understand what users are trying to achieve, design better workflows, and build the front‑end and back‑end functionality that helps clients make better pricing decisions faster. The front‑end includes complex pricing and data logic, including scenarios, rate changes, flow calculations, dashboards, tables and visualisations. We need someone who can understand this logic, improve the user experience, and take real ownership of the tools.

What you’ll be working on:

• Building new functionality for mortgage and savings pricing tools.
• Expanding upon existing product range (e.g. developing a loans tool).
• Improving dashboards, pricing scenarios, optimisation outputs, reports and portfolio views.
• Working with complex front‑end logic, including rate changes, pricing flows, table lookups and recalculated outputs.
• Working closely with clients to understand how they use the tools and where the experience can be improved.
• Improving usability, page loading speeds, reliability and general tool performance.
• Monitoring how users interact with the platform through logs and usage analysis, then using those insights to improve the product.
• Working with the data science team to turn analytical outputs into secure, reliable and intuitive client‑facing software.
• Taking ownership of the tools and helping ensure they are clear, professional and commercially valuable.

Must haves:

• Two or more years’ professional software engineering experience, ideally with a strong front‑end focus.
• Experience building data‑intensive, secure web applications.
• Ability to understand complex business logic and turn it into intuitive software.
• Strong product mindset: you care about usability, performance, reliability and customer value.
• Ability to work closely with clients, data scientists and commercial stakeholders.
• Strong academic record in a STEM, quantitative or technical subject, ideally from a good university.
• Permanent right to work in the UK.

Nice to haves:

• Experience in financial services, banking, mortgages, savings, pricing or optimisation.
• Experience with Chart.js or similar data visualisation libraries.
• Experience with TypeScript.
• Experience with React or similar front‑end frameworks.
• Experience with jQuery or legacy front‑end codebases.
• Experience with Azure or cloud‑based applications.
• Experience integrating with APIs or Python‑based analytical workflows.

What we offer:

• A competitive salary, reflecting experience and impact.
• A genuinely compelling profit share scheme, with the potential to own a stake in the business.
• Equity options in the event of an acquisition.
• Flexible working hours and a supportive, outcomes‑focused culture.
• The ability to work from anywhere for up to two months each year.
• The chance to take ownership of our live SaaS product already used by clients.
• Meaningful influence over engineering, product architecture, frontend experience, and cloud delivery.
• 25 days of annual leave, increasing by one day per year after two years’ service, up to 30 days.

Other:

Unfortunately, we’re unable to sponsor visas, so applicants must have the permanent right to work in the UK. Successful applicants should be willing to work in the London office up to two days a week and should be willing to travel to clients when required.

How to apply:

Please send your CV and a few words (maximum 300) on why you want to work at Clariti AI to . No recruiters please, any unsolicited CVs received will be considered a gift.