At a Glance
- Tasks: Join us to develop and enhance a cutting-edge pricing intelligence platform.
- Company: Clariti AI, a profitable B2B SaaS startup revolutionising retail banking.
- Benefits: Enjoy competitive salary, profit share, flexible hours, and remote work options.
- Other info: Be part of a dynamic team with excellent growth opportunities and influence.
- Why this job: Make a real impact by shaping the future of our live SaaS product.
- Qualifications: 3+ years in software engineering with strong frontend skills and a product mindset.
The predicted salary is between 60000 - 75000 € per year.
Location: London/Hybrid – Office two+ days per week
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 increase significantly in the next year. The company is bootstrapped (no VC or angel investment) and is already very profitable.
We're looking for an exceptional Full Stack Engineer with strong frontend skills to join us as a key early hire, helping shape the next version of Clariti AI's pricing intelligence platform. This is a hands-on engineering role focused on building and improving a modern, cloud-based B2B SaaS product. You'll work across the stack, with a particular focus on frontend development, dashboard-heavy user experiences, API integration, backend services, and cloud deployment.
Our current app is already live with clients. Users log in securely to access dashboards, analysis, pricing outputs, and optimisation tools for mortgage and deposit portfolios. Your role will include maintaining and improving the existing application, while also helping us build an improved second version of the platform. You'll work closely with our data science team, who own the modelling, analysis, and preparation of pricing outputs. Your job is to build the frontend, backend services, APIs, and cloud workflows that turn their analytical work into reliable, secure, scalable software in front of clients. If you enjoy being the engineer who makes the science real, this is that role.
What you'll be working on:
- Maintaining our existing live client-facing web application.
- Working with the team and our pricing-oriented clients to design and implement new features on the platform such as dashboard interfaces, pricing frontiers, reports that allow users to explore pricing outputs, portfolio performance, scenarios, and recommendations.
- Building and integrating APIs and backend services that connect prepared data and model outputs into the application.
- Improving the performance, reliability, security, and maintainability of our application.
- Helping improve our cloud deployment processes, environments, monitoring, and release workflows.
- Contributing to frontend architecture, backend patterns, component libraries, API standards, and engineering best practices.
- Contributing to architectural and product decisions as we scale into new clients, markets, and product areas including building of prototype pricing tools.
- Helping design and build version two of the Clariti AI platform.
What we're looking for (this is an exhaustive list so not all essential):
- At least 3 years of professional software/front-end engineering experience.
- Experience building data-intensive, secure web applications within financial services sector and/or price optimisation software.
- Technical experience:
- Modern (ideally React or similar) and legacy frameworks (ideally jQuery)
- HTML, CSS, Typescript
- Data visualisation libraries such as Chart.js or similar
- Backend integration: APIs, MySQL, PHP, Python
- Cloud-based applications (ideally Azure).
- A product mindset. You care not just that something works, but that it is reliable, intuitive, and maintainable.
- The ability to communicate clearly with data scientists / engineers, and clients.
- A self-starter who enjoys solving open-ended development and engineering problems and building things in an early-stage environment.
What we offer:
- A genuinely compelling profit share scheme, with the potential to own a stake in the business.
- A competitive salary, reflecting experience and impact.
- 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 shape the second version of a 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.
Full Stack Engineer (Front end leaning) in London employer: Clariti AI
At Clariti AI, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture. As a Full Stack Engineer, you'll enjoy a competitive salary, a compelling profit share scheme, and the opportunity to shape a cutting-edge SaaS product while working in a supportive environment that values flexibility and employee growth. With the chance to influence key engineering decisions and a commitment to work-life balance, including the ability to work remotely for up to two months each year, Clariti AI is the perfect place for those seeking meaningful and rewarding employment in the heart of London.
StudySmarter Expert Advice🤫
We think this is how you could land Full Stack Engineer (Front end leaning) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who might know someone at Clariti AI. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with projects that highlight your frontend expertise, make sure to share it during interviews. It’s a great way to demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for the technical interview! Brush up on your coding skills and be ready to tackle some real-world problems. Practice common algorithms and data structures, and don’t forget to think aloud while solving problems.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the Clariti AI team.
We think you need these skills to ace Full Stack Engineer (Front end leaning) in London
Some tips for your application 🫡
Craft a Compelling CV:Your CV is your first impression, so make it count! Highlight your relevant experience, especially in frontend development and any work with B2B SaaS products. Tailor it to show how your skills align with what we're looking for at Clariti AI.
Show Your Passion:In your few words about why you want to work with us, let your enthusiasm shine through! Share what excites you about our mission and how you see yourself contributing to the team. We love seeing genuine interest!
Be Clear and Concise:With a 300-word limit, every word counts! Get straight to the point and avoid fluff. Make sure to clearly articulate your motivations and how your background makes you a great fit for the role.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, it shows you're proactive and keen to join our team!
How to prepare for a job interview at Clariti AI
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially React, HTML, CSS, and APIs. Brush up on your knowledge of data visualisation libraries like Chart.js, as well as backend integration with MySQL and PHP. Being able to discuss these technologies confidently will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled open-ended development problems in the past. Clariti AI is looking for a self-starter who can think on their feet, so be ready to share specific instances where you’ve built something from scratch or improved an existing application. This will demonstrate your ability to take ownership in a fast-scaling startup.
✨Communicate Clearly
Since you'll be working closely with data scientists and clients, practice explaining complex technical concepts in simple terms. During the interview, make it a point to showcase your communication skills by discussing how you’ve collaborated with non-technical stakeholders in previous roles. This will highlight your ability to bridge the gap between tech and business.
✨Express Your Passion for the Product
Take some time to understand Clariti AI's pricing optimisation software and its impact on retail banks. In your interview, express why you’re excited about the opportunity to shape the next version of their platform. Showing genuine interest in the product and its potential will set you apart as a candidate who truly cares about the company's mission.
