At a Glance
- Tasks: Join us to build and scale our innovative Generative AI platform.
- Company: Dynamic tech company focused on cutting-edge AI solutions.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Inclusive workplace committed to equal opportunity and career development.
- Why this job: Make a real impact in the fast-paced world of AI technology.
- Qualifications: 4+ years of engineering experience and familiarity with modern AI tools.
The predicted salary is between 70000 - 90000 £ per year.
Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems.
You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability.
- Own large new areas within our product, driving features from design through production deployment.
- Work across backend, frontend, and interacting with LLMs and ML models.
- Develop reliable backend services in Python, working with distributed systems, data pipelines, and ML/LLM components.
- Integrate with LLMs, vector databases, and AI infrastructure to power intelligent product experiences.
- Deliver experiments and new features quickly, maintaining high quality and tight feedback loops with customers.
- Collaborate across product, ML, and infrastructure teams to shape the direction of Scale GP.
- Adapt quickly—learning new technologies, frameworks, and tools as needed across the stack.
Ideally you'd have:
- 4+ years of full-time engineering experience, post-graduation.
- Experience scaling or shipping products at high-growth startups.
- Familiarity with LLMs, vector databases, embeddings, or other modern AI tooling (tinkering or production experience welcome).
- Proficiency with SQL and modern API development.
- Experience with Kubernetes, containerization, and microservice architectures.
- Experience working with at least one major cloud provider (AWS, GCP, or Azure).
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.
Software Engineer, Platform London, UK Apply → employer: Scale AI, Inc.
At Scale GP, we pride ourselves on fostering a dynamic and inclusive work environment where innovation thrives. As a Software Engineer in London, you'll have the opportunity to work on cutting-edge Generative AI technologies while collaborating with talented teams across product, ML, and infrastructure. We offer competitive benefits, a commitment to employee growth, and the chance to make a significant impact in a fast-paced, high-growth setting.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer, Platform London, UK Apply →
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at Scale GP. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving LLMs or distributed systems. This gives us a glimpse of what you can do beyond your CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design principles. Practice common algorithms and data structures, and be ready to discuss your past experiences in detail.
✨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. Plus, it shows you’re genuinely interested in joining our team at Scale GP.
We think you need these skills to ace Software Engineer, Platform London, UK Apply →
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for Generative AI shine through! We love seeing candidates who are genuinely excited about the technology and its potential. Share any personal projects or experiences that highlight your interest in this field.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Software Engineer role. Highlight relevant experience with distributed systems, Python, and any work with LLMs. We want to see how your skills align with what we're building at Scale GP!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language and avoid jargon unless it's relevant. We appreciate a well-structured application that makes it easy for us to see your qualifications and fit for the role.
Apply Through Our Website:Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the position. Plus, it helps us keep everything organised on our end!
How to prepare for a job interview at Scale AI, Inc.
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, SQL, and cloud services like AWS or GCP. Brush up on your knowledge of LLMs and distributed systems, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific engineering challenges you've faced in the past. Think about how you approached scalability and reliability issues, and be ready to explain your thought process and the outcomes. Real-world examples will help demonstrate your expertise.
✨Collaborate and Communicate
Since the role involves working across various teams, practice articulating your ideas clearly. Be prepared to discuss how you’ve collaborated with product, ML, and infrastructure teams in previous roles. Highlight your ability to adapt and learn new technologies quickly.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about the team dynamics, the challenges they face with the Scale GP platform, or how they measure success for new features. This shows you’re genuinely invested in the position.
