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- Tasks: Build and ship features that users love while shaping product strategy.
- Company: Leading AI firm in Greater London with a vibrant startup culture.
- Benefits: Competitive salary, flexible hours, and rapid career growth opportunities.
- Why this job: Join an exciting startup and make a real impact in the AI space.
- Qualifications: Experience with Python, FastAPI, React, and a passion for problem-solving.
- Other info: Dynamic environment perfect for ambitious individuals looking to grow.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI firm in Greater London is looking for a full stack engineer to contribute to all layers of the application. The role involves shipping features that users care about and participating in product strategy sessions.
Ideal candidates will have experience with Python, FastAPI, and React, and a passion for solving customer problems. This is an opportunity to shape the company's vision and experience rapid career growth in an exciting startup environment.
Full-Stack AI Engineer — Build End-to-End PE Insights in London employer: Capsa AI
Contact Detail:
Capsa AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full-Stack AI Engineer — Build End-to-End PE Insights in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those working at companies you're interested in. A friendly chat can open doors and give you insider info on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Python, FastAPI, and React. This is your chance to demonstrate how you solve real customer problems and ship features that matter.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely excited about joining our team and shaping the future of AI together.
We think you need these skills to ace Full-Stack AI Engineer — Build End-to-End PE Insights in London
Some tips for your application 🫡
Show Your Passion: When writing your application, let us see your enthusiasm for solving customer problems. Share examples of how you've tackled challenges in the past, especially using Python, FastAPI, or React.
Tailor Your CV: Make sure your CV highlights relevant experience that aligns with the role. We want to see how your skills can contribute to shipping features that users care about, so don’t hold back on those details!
Be Authentic: We love genuine applications! Don’t just regurgitate buzzwords; instead, share your unique perspective and experiences. This is your chance to show us who you are beyond your technical skills.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to connect and start the conversation about your future with us!
How to prepare for a job interview at Capsa AI
✨Know Your Tech Stack
Make sure you brush up on your Python, FastAPI, and React skills before the interview. Be ready to discuss how you've used these technologies in past projects and how they can be applied to solve customer problems.
✨Understand the Company’s Vision
Research the AI firm thoroughly. Understand their products, mission, and recent developments. This will help you align your answers with their goals and show that you're genuinely interested in contributing to their vision.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities. Think of examples where you've tackled challenges in your previous roles, especially those that required a full-stack approach. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Engage in Product Strategy Discussions
Since the role involves participating in product strategy sessions, be prepared to share your thoughts on feature development. Think about what features users might care about and how you would prioritise them. This shows your proactive mindset and willingness to contribute beyond just coding.
