At a Glance
- Tasks: Build and scale a cutting-edge Generative AI platform with innovative features.
- Company: Join a dynamic tech company focused on AI and inclusivity.
- Benefits: Competitive salary, remote work options, 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 60000 - 80000 £ 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.
You will:
- 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 with cutting-edge technologies in Generative AI, while collaborating with talented teams across product and infrastructure. We offer competitive benefits, a commitment to employee growth, and a culture that values diverse perspectives, making it an excellent place for those seeking meaningful and rewarding employment.
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 your industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to LLMs and distributed systems. It’s a great way to demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practicing common technical questions and coding challenges. Use platforms like LeetCode or HackerRank to sharpen your skills and boost your confidence.
✨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, we love hearing from passionate candidates like you!
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 writing your application, let us see your enthusiasm for generative AI and how it drives you. Share any personal projects or experiences that highlight your interest in this field—this can really make you stand out!
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the role. Highlight your experience with distributed systems, Python, and any relevant tools like Kubernetes or LLMs. We want to see how your skills align with what we're building at Scale GP.
Be Clear and Concise:Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read through your achievements and skills. We appreciate a well-structured application that gets straight to the good stuff!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at StudySmarter.
How to prepare for a job interview at Scale AI, Inc.
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, like Python, SQL, and cloud providers. Brush up on your knowledge of distributed systems and microservices, 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 of your solutions.
✨Demonstrate Collaboration
Since the role involves working across various teams, be prepared to share examples of how you’ve successfully collaborated with product, ML, or infrastructure teams. Highlight your communication skills and how you adapt to different team dynamics.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to AI and product development. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values and work style.
