Software Engineer, Generative AI Platform (Backend/ML) in London

Software Engineer, Generative AI Platform (Backend/ML) in London

London Full-Time 60000 - 84000 £ / year (est.) No working from home possible
Scale AI, Inc.

At a Glance

  • Tasks: Own and develop backend services for a cutting-edge Generative AI platform.
  • Company: Join Scale AI, a leader in innovative AI solutions in Greater London.
  • Benefits: Inclusive work culture, career growth opportunities, and competitive salary.
  • Other info: Dynamic team environment focused on innovation and collaboration.
  • Why this job: Make an impact in the exciting field of AI and work with modern technologies.
  • Qualifications: 4+ years in engineering, experience with distributed systems and API development.

The predicted salary is between 60000 - 84000 £ per year.

Scale AI, Inc. is looking for a skilled engineer to join their Scale GP team in Greater London. This role involves owning significant areas of the product, developing backend services in Python, and integrating LLMs and modern AI infrastructure.

Ideal candidates will have:

  • A minimum of 4 years of experience in engineering
  • Familiarity with distributed systems
  • Skills in API development

The company emphasizes an inclusive work environment and provides opportunities for career growth.

Software Engineer, Generative AI Platform (Backend/ML) in London employer: Scale AI, Inc.

Scale AI, Inc. is an exceptional employer that fosters a collaborative and inclusive work culture in the heart of Greater London. With a strong emphasis on employee growth, the company offers ample opportunities for professional development while working on cutting-edge technology in generative AI. Joining Scale AI means being part of a forward-thinking team that values innovation and creativity, making it a rewarding place to advance your career.

Scale AI, Inc.

Contact Details:

Scale AI, Inc. Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Software Engineer, Generative AI Platform (Backend/ML) in London

Tip Number 1

Network like a pro! Reach out to current employees at Scale AI through LinkedIn or industry events. A friendly chat can give us insider info and maybe even a referral!

Tip Number 2

Show off your skills! Prepare a portfolio or GitHub repository showcasing your backend projects, especially those involving Python and AI. This will help us stand out during interviews.

Tip Number 3

Practice makes perfect! Brush up on your coding skills and be ready for technical interviews. Use platforms like LeetCode or HackerRank to tackle problems related to distributed systems and API development.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.

We think you need these skills to ace Software Engineer, Generative AI Platform (Backend/ML) in London

Backend Development
Python
Large Language Models (LLMs)
AI Infrastructure
Distributed Systems
API Development
Software Engineering

Some tips for your application 🫡

Show Off Your Skills:Make sure to highlight your experience with Python and backend services in your application. We want to see how you've tackled similar challenges in the past, especially with distributed systems and API development.

Tailor Your Application:Don’t just send a generic CV! Tailor your application to reflect the specific skills and experiences that align with the Software Engineer role at Scale AI. We love seeing candidates who take the time to connect their background to what we do.

Be Yourself:We value an inclusive work environment, so let your personality shine through in your application. Share your passion for generative AI and how you can contribute to our team culture!

Apply Through Our Website:For the best chance of success, make sure to apply directly through our website. It’s the easiest way for us to keep track of your application and get back to you quickly!

How to prepare for a job interview at Scale AI, Inc.

Know Your Tech Stack

Make sure you’re well-versed in Python and any relevant frameworks. Brush up on your knowledge of distributed systems and API development, as these are crucial for the role. Being able to discuss your past projects and how you’ve used these technologies will impress the interviewers.

Showcase Your Problem-Solving Skills

Prepare to tackle some technical challenges during the interview. Practice coding problems related to backend services and generative AI. Think aloud while solving them; this shows your thought process and how you approach complex issues.

Understand the Company Culture

Scale AI values an inclusive work environment, so be ready to discuss how you contribute to a positive team dynamic. Share examples of how you’ve worked collaboratively in diverse teams and how you support inclusivity in your work.

Ask Insightful Questions

Prepare thoughtful questions about the team, the projects you’ll be working on, and the company’s vision for the future of AI. This not only shows your interest but also helps you gauge if the company aligns with your career goals.