Software Engineer (Node, React) in London

Software Engineer (Node, React) in London

London Full-Time 60000 - 60000 £ / year (est.) No working from home possible
Trust In SODA

At a Glance

  • Tasks: Build innovative AI systems that automate tedious workflows in Excel.
  • Company: Exciting FinTech start-up with a focus on real-world AI applications.
  • Benefits: Up to £60k salary, 30 days holiday, equity options, and a new MacBook Pro.
  • Other info: Collaborative office environment with mentorship, dog-friendly policy, and an on-site gym.
  • Why this job: Join a product-first team where you own what you build and make a real impact.
  • Qualifications: 2+ years of software engineering experience, proficient in TypeScript, Node.js, and React.

The predicted salary is between 60000 - 60000 £ per year.

Most "AI engineering" roles right now involve slapping a basic wrapper around a generic API and calling it a day. This isn't one of those. We are partnering with an exceptionally high-performing, newly funded (£3M pre-seed) FinTech start-up that is building actual agentic AI systems. Instead of trying to force users onto a shiny new platform they don't want, our client embeds custom AI sub-agents natively right where financial advisors and accountants already live: Microsoft Excel. By automating tedious, spreadsheet-heavy workflows and complex compliance calculations, they are saving global professional services firms hundreds of manual hours. They already have massive commercial traction, including a major agreement with a global corporate services giant and active deployments across Big 4 firms (KPMG, EY, Deloitte). To keep up with this demand, they are expanding their tight-knit engineering team from 3 to 5.

The Mindset: What You'll Actually Do

  • End-to-End Execution: You’ll spend your time shipping real features from the database layer right up to the React components.
  • Long-Term Ownership: This isn't an agency setup where you ship code and walk away. You’ll maintain, refactor, and mature what you build over time based on real user feedback.
  • Work Alongside AI Engineers: You don't need a background in Machine Learning, but you do need to be deeply curious about it. You’ll be building the critical scaffolding, APIs, and UIs that expose and route these complex agentic systems.
  • Psychological Safety: They move in fast, 1-week sprint cycles. The motto is "make mistakes fast and fix them fast." They have excellent observability systems in place, so when something breaks, the team rallies together to solve it and learn from it.

What We’re Looking For

  • The Sweet Spot: 2+ years of professional software engineering experience, ideally within a product-focused environment.
  • Core Tech: Proficient with TypeScript, Node.js, and React. Some cloud exposure (AWS/Serverless) is ideal, but you don't need to be an infrastructure wizard.
  • Engineering Discipline: A solid appreciation for TDD (Test-Driven Development), whether from your professional work or personal projects.
  • Longevity & Curiosity: We value engineers who have stuck around to see the long-term impact of their code rather than jumping frequently between short-term contracts. An active side project or a genuine passion for building things outside of work is a massive bonus.

The Environment & Perks

  • The Office: Complete with a dog-friendly policy, an incredible rooftop for socialising, and an on-site gym located right downstairs (with membership covered).
  • The Onboarding: No "sink or swim" here. Week 1 is a soft onboarding to get familiar with the stack, followed by 3 weeks of structured pair programming on shared tasks before you start picking up features independently.
  • The Package: Up to £60k salary, 30 days holiday, equity options (to be confirmed on application), and a brand new MacBook Pro.

No sponsorship can be provided for this role. If you are a curious, product-minded engineer who wants to be at the front line of how real AI products get built, let's have a chat.

Software Engineer (Node, React) in London employer: Trust In SODA

Join a dynamic FinTech start-up that prioritises innovation and collaboration in a vibrant office environment at Clapham Junction. With a strong focus on employee growth, you will have the opportunity to take ownership of your projects while working alongside talented AI engineers in a supportive culture that encourages learning from mistakes. Enjoy a range of benefits including a dog-friendly office, an on-site gym, and generous holiday allowances, all while contributing to cutting-edge AI solutions that are transforming the financial services industry.

Trust In SODA

Contact Details:

Trust In SODA Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Software Engineer (Node, React) in London

Tip Number 1

Network like a pro! Reach out to people in the industry, especially those who work at the company you're eyeing. A friendly chat can open doors and give you insider info that could make your application stand out.

Tip Number 2

Show off your skills! If you've got a side project or a GitHub repo, make sure to highlight it. It’s a great way to demonstrate your passion for coding and your ability to build real-world applications.

Tip Number 3

Prepare for the interview by understanding their tech stack. Brush up on TypeScript, Node.js, and React, and be ready to discuss how you’ve used them in past projects. This shows you’re not just a fit on paper but also in practice.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to connect with us directly.

We think you need these skills to ace Software Engineer (Node, React) in London

TypeScript
Node.js
React
API Development
Test-Driven Development (TDD)
Cloud Exposure (AWS/Serverless)
End-to-End Execution

Some tips for your application 🫡

Show Your Passion for Product Development:When writing your application, let us see your enthusiasm for building real products. Share examples of projects where you’ve taken ownership and delivered features that made a difference. We love seeing candidates who are genuinely excited about creating impactful software!

Highlight Your Technical Skills:Make sure to clearly outline your experience with TypeScript, Node.js, and React in your application. We want to know how you've used these technologies in past roles or personal projects. If you’ve dabbled in cloud services like AWS, don’t forget to mention that too!

Emphasise Your Curiosity and Learning Mindset:We’re looking for engineers who are curious about AI and eager to learn. In your application, share any side projects or experiences that showcase your willingness to explore new technologies and concepts. This will help us see your potential fit within our innovative team.

Keep It Personal and Authentic:Don’t be afraid to let your personality shine through in your application. We appreciate authenticity and want to get a sense of who you are beyond your technical skills. A personal touch can make your application stand out, so feel free to share your journey and what drives you!

How to prepare for a job interview at Trust In SODA

Know Your Tech Stack

Make sure you’re well-versed in TypeScript, Node.js, and React. Brush up on your knowledge of cloud services like AWS or Serverless, even if you're not an expert. Being able to discuss how you've used these technologies in past projects will show your hands-on experience.

Show Your Curiosity

Since the role values curiosity about AI, come prepared with questions or insights about recent developments in AI and how they could apply to the financial sector. This will demonstrate your genuine interest and willingness to learn.

Emphasise Ownership and Long-Term Thinking

Be ready to talk about projects where you’ve taken ownership from start to finish. Highlight how you’ve maintained and improved your code over time based on user feedback. This aligns perfectly with their product-first philosophy.

Prepare for a Fast-Paced Environment

Understand that this team works in quick sprints and embraces mistakes as learning opportunities. Share examples of how you’ve adapted to fast-paced environments and how you handle challenges when things don’t go as planned.