At a Glance
- Tasks: Build and ship AI-powered products for global finance customers.
- Company: Fast-growing AI startup with a mission to transform finance.
- Benefits: Meaningful equity, world-class team, and mentorship from experienced founders.
- Other info: Dynamic environment with opportunities for rapid career advancement.
- Why this job: Join a pivotal stage of growth and shape the future of finance with AI.
- Qualifications: 4+ years in software engineering, expertise in Python and TypeScript.
The predicted salary is between 70000 - 90000 £ per year.
We’re working with one of London’s fastest-growing AI startups, founded by 3rd-time founders who have already built and scaled successful companies. After raising one of the biggest Series A rounds in fintech startup history, they’re already valued at $600M+ just 2.5 years in and are now building the next generation of AI products for finance.
The mission is to build AI teammates that work alongside finance teams, automating complex workflows and transforming how financial organisations operate.
Why this role is exciting:
- Build and ship AI-powered products used by global enterprise customers.
- Work across the full stack, from frontend and backend to infrastructure and AI systems.
- Own features end-to-end and influence architecture, engineering standards and product direction.
- Solve complex problems at the intersection of AI, finance and automation.
What they’re looking for:
- 4+ years of strong software engineering experience.
- Deep expertise in Python and TypeScript.
- Experience building products at AI startups or high-growth technology companies.
- Strong product mindset with a bias towards ownership and execution.
- Comfortable working in ambiguity and moving quickly.
What’s on offer:
- Meaningful equity (Expected to 10X+ by end of 2027).
- The opportunity to join a world-class engineering team at a pivotal stage of growth.
- Work alongside two 3rd time founders who have done it all before and are happy to share the secret to success!
- This is a chance to do more than build software, you’ll help create the AI workforce powering the future of finance.
Full Stack Engineer | AI Agents Startup employer: Tech Talent Network
Tech Talent Network is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration in the heart of London. Employees benefit from competitive compensation, direct mentorship from experienced founders, and ample opportunities for professional growth, making it an ideal environment for those passionate about shaping the future of AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land Full Stack Engineer | AI Agents Startup
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Tech Talent Network or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Tech Talent Network.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Tech Talent Network.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Tech Talent Network that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Full Stack Engineer | AI Agents Startup
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Tech Talent Network.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Tech Talent Network and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Tech Talent Network
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Tech Talent Network uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
