Full-Stack AI Engineer (React + Python) — Scale RAG & Analytics

Full-Stack AI Engineer (React + Python) — Scale RAG & Analytics

Full-Time 50000 - 70000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Build and scale innovative AI systems while tackling real developer questions.
  • Company: Join kapa.ai, a forward-thinking tech company with a focus on AI solutions.
  • Benefits: Enjoy competitive pay, flexible work options, and opportunities for growth.
  • Other info: Collaborative environment with a chance to work on cutting-edge projects.
  • Why this job: Be part of a pioneering team shaping the future of AI technology.
  • Qualifications: Degree in computer science and 3+ years of software engineering experience required.

The predicted salary is between 50000 - 70000 £ per year.

kapa.ai is looking for a talented Software Engineer to work across the stack on Kapa systems, helping to answer thousands of developer questions daily. In this role, you will collaborate with the founding team and research engineers, scale the Kapa RAG engine's infrastructure, and maintain our React SDK.

The ideal candidate has:

  • A degree in computer science or related field
  • 3+ years of software engineering experience
  • An affinity for machine learning and natural language processing

Full-Stack AI Engineer (React + Python) — Scale RAG & Analytics employer: kapa.ai

At kapa.ai, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to thrive. As a Full-Stack AI Engineer, you will have the opportunity to collaborate closely with our founding team and contribute to cutting-edge projects in a supportive environment that values continuous learning and professional growth. Located in a vibrant tech hub, we offer competitive benefits and a unique chance to be at the forefront of AI development, making a meaningful impact in the industry.

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Contact Details:

kapa.ai Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Full-Stack AI Engineer (React + Python) — Scale RAG & Analytics

Tip Number 1

Network like a pro! Reach out to people in the industry, especially those at kapa.ai. A friendly chat can sometimes lead to opportunities that aren’t even advertised.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving React and Python. This gives you a chance to demonstrate your expertise in a tangible way.

Tip Number 3

Prepare for technical interviews by brushing up on your coding skills and understanding machine learning concepts. Practising common algorithms and data structures can really set you apart.

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 at kapa.ai. Plus, it shows you’re genuinely interested in joining the team.

We think you need these skills to ace Full-Stack AI Engineer (React + Python) — Scale RAG & Analytics

Full-Stack Development
React
Python
Machine Learning
Natural Language Processing
Software Engineering
Infrastructure Scaling

Some tips for your application 🫡

Show Off Your Skills:Make sure to highlight your experience with React and Python in your application. We want to see how you've used these technologies in real projects, so don’t hold back on the details!

Tailor Your Application:Take a moment to customise your application for this role. Mention how your background in machine learning and natural language processing aligns with what we’re looking for at Kapa.ai.

Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your qualifications and experiences.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!

How to prepare for a job interview at kapa.ai

Know Your Tech Stack

Make sure you’re well-versed in both React and Python, as these are crucial for the role. Brush up on your knowledge of how they interact, especially in the context of AI and machine learning applications.

Showcase Your Problem-Solving Skills

Prepare to discuss specific challenges you've faced in previous projects, particularly those involving scaling systems or working with RAG engines. Use the STAR method (Situation, Task, Action, Result) to structure your answers.

Understand Kapa's Mission

Familiarise yourself with Kapa.ai’s goals and how their technology helps developers. This will not only show your interest but also help you align your answers with their vision during the interview.

Ask Insightful Questions

Prepare thoughtful questions about the team dynamics, the tech stack, and future projects. This demonstrates your enthusiasm for the role and gives you a better understanding of what it’s like to work at Kapa.ai.