At a Glance
- Tasks: Build and scale a cutting-edge Generative AI platform with innovative features.
- Company: Join Scale, a leader in AI technology with a mission to impact the world.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic team environment with a commitment to diversity and inclusion.
- Why this job: Make a real difference in AI while working with top industry leaders.
- Qualifications: 4+ years of engineering experience, strong Python or JavaScript skills, and cloud knowledge.
The predicted salary is between 80000 - 100000 £ 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.
- Strong experience in Python or Javascript/Typescript.
- 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).
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. 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. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com.
Software Engineer, Platform in London employer: Scale AI
At Scale, we pride ourselves on being an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration. Our inclusive culture encourages employees to bring their whole selves to work, while providing ample opportunities for professional growth and development in the rapidly evolving field of AI. With a commitment to equal opportunity and a focus on impactful projects, joining our team means contributing to meaningful advancements in technology alongside industry leaders.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer, Platform in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Scale GP on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. Personal connections can give you an edge!
✨Tip Number 2
Prepare for technical interviews by brushing up on your coding skills. Use platforms like LeetCode or HackerRank to practice problems related to Python, distributed systems, and APIs. We want to see your problem-solving skills in action!
✨Tip Number 3
Showcase your projects! If you've worked on relevant projects involving LLMs or cloud services, make sure to highlight them during your interviews. We love seeing real-world applications of your skills!
✨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 in London
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI and software engineering shine through. We want to see how excited you are about working with cutting-edge technologies and solving complex problems!
Tailor Your Experience:Make sure to highlight your relevant experience in Python, distributed systems, and any work with LLMs or AI tools. We love seeing how your background aligns with what we're doing at Scale GP, so don’t hold back!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so make sure your skills and experiences are easy to understand. This helps us get a quick grasp of what you bring to the table.
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Scale AI
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and JavaScript/TypeScript. Brush up on your knowledge of distributed systems, LLMs, 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 Experience
Since the role involves working across various teams, be prepared to share examples of how you've successfully collaborated with product, ML, and infrastructure teams. Highlight any experiences where you drove features from design to deployment.
✨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 their current projects, team dynamics, or how they approach integrating new technologies. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
