Senior Fullstack Engineer — End-to-End AI Features (Hybrid)

Senior Fullstack Engineer — End-to-End AI Features (Hybrid)

Full-Time 60000 - 80000 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Own product features and enhance development processes in a hybrid role.
  • Company: Capsa AI, a rapidly growing tech company in London.
  • Benefits: Competitive salary, equity options, and flexible working arrangements.
  • Other info: Exciting opportunities for career growth in a scaling company.
  • Why this job: Join a fast-paced environment and make a real impact on AI technology.
  • Qualifications: Strong technical background and experience in software development.

The predicted salary is between 60000 - 80000 £ per year.

Capsa AI is looking for a Senior Fullstack Engineer to take ownership of product features and enhance the development process. You will work primarily in London in a hybrid role, responsible for delivering value across all layers of our application.

The ideal candidate has a strong technical background and experience in a fast-paced environment. Capsa AI is scaling quickly and offers competitive compensation along with equity in a rapidly growing company.

Senior Fullstack Engineer — End-to-End AI Features (Hybrid) employer: Capsa AI

Capsa AI is an exceptional employer for those looking to make a significant impact in the AI industry. With a hybrid work model in London, employees enjoy a collaborative and innovative culture, competitive compensation, and the opportunity to work alongside seasoned professionals on cutting-edge projects that shape the future of private capital investment. The company prioritises employee growth and offers a dynamic environment where your contributions directly influence billion-dollar decisions.

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Contact Details:

Capsa AI Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Fullstack Engineer — End-to-End AI Features (Hybrid)

✨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 Capsa AI 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 Capsa AI.

✨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 Capsa AI.

✨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 Capsa AI 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 Senior Fullstack Engineer — End-to-End AI Features (Hybrid)

Fullstack Development
Ownership of Product Features
Application Development
Technical Background
Fast-Paced Environment Experience
Hybrid Work Model Adaptability
Value Delivery Across Application Layers

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 Capsa AI.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Capsa AI 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 Capsa AI

✨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 Capsa AI 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.