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- Tasks: Design and build AI-driven applications, optimising backend services and developing scalable APIs.
- Company: Scale AI is a leader in enterprise AI, transforming workflows with cutting-edge solutions.
- Benefits: Enjoy flexible work options, competitive salary, and the chance to work on impactful projects.
- Why this job: Be at the forefront of the GenAI revolution, shaping products that impact millions globally.
- Qualifications: 5+ years in backend or full-stack development, strong Python skills, and cloud experience required.
- Other info: Collaborate with cross-functional teams to bring innovative AI applications to life.
The predicted salary is between 48000 - 72000 £ per year.
At Scale AI, we’re not just building AI tools—we’re pioneering the next era of enterprise AI. As businesses race to harness the power of Generative AI, Scale is at the forefront, delivering cutting-edge solutions that transform workflows, automate complex processes, and drive unparalleled efficiency for the largest enterprises. Our Scale Generative AI Platform (SGP) provides foundational services and APIs, enabling businesses to seamlessly integrate AI into their operations at production scale.
We’re looking for a Software Engineer (Product) to help shape the future of AI-powered applications. In this role, you’ll bridge the gap between AI research and production, turning innovative prototypes into scalable, high-performance enterprise solutions. You’ll build interactive AI applications, enterprise SaaS products, and platform capabilities that redefine how businesses leverage AI. This is a rare opportunity to be at the center of the GenAI revolution, working on products that impact millions of users while developing core AI infrastructure for some of the world’s largest companies.
If you’re excited about pushing the boundaries of AI-driven product development, we want to hear from you. At Scale, we don’t just follow AI advancements — we lead them. Backed by deep expertise in data, infrastructure, and model deployment, we are uniquely positioned to solve the hardest problems in AI adoption. Join us in shaping the future of enterprise AI, where your work will directly impact how businesses operate, innovate, and grow in the age of GenAI.
You Will:
- Design, build, and optimize backend services for advanced AI-driven applications, focusing on AI agents, evaluation tooling, and automation.
- Develop and refine features for Scale’s GenAI Platform, enabling businesses to build, deploy, and manage AI-driven agents with robust backend capabilities.
- Implement scalable APIs and services in Python, leveraging frameworks like FastAPI, to support real-time AI applications and large-scale data processing.
- Build and maintain full stack web applications using modern frameworks and technologies Next.js, React, TypeScript, and Tailwind.
- Integrate AI models and evaluation systems, working closely with ML teams to enhance agent reasoning, response quality, and decision-making.
- Manage and optimize cloud infrastructure, ensuring high availability, performance, and security in AWS, Azure, or GCP environments.
- Ship features at a rapid pace, maintaining high code quality, observability, and performance across backend systems.
Ideally, You Have:
- 5+ years of experience developing backend or full-stack applications, with a strong emphasis on backend engineering.
- Strong proficiency in Python and backend frameworks such as FastAPI or Flask.
- Familiarity with frontend technologies (Next.js, React, TypeScript, Tailwind) with an eye for building polished, user-friendly interfaces.
- Experience making trade-offs between speed and quality in fast-paced environments.
- A passion for AI and experience working on AI-first applications, agent-based systems, or data-rich web platforms.
- Strong cloud experience (AWS, Azure, GCP), including containerized deployments (Docker, Kubernetes) and cloud services (AWS Lambda, S3, DynamoDB, etc.).
- A track record of collaborating cross-functionally with design, product, and ML teams to bring AI-powered applications to life.
Software Engineer, Enterprise Engineering London, UK employer: Scale AI, Inc.
Contact Detail:
Scale AI, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer, Enterprise Engineering London, UK
✨Tip Number 1
Familiarise yourself with the latest advancements in Generative AI and how they apply to enterprise solutions. This knowledge will not only help you understand Scale AI's mission but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your experience with backend frameworks like FastAPI or Flask by discussing specific projects where you've implemented these technologies. Be prepared to explain your decision-making process and how it contributed to the project's success.
✨Tip Number 3
Highlight your cloud experience, particularly with AWS, Azure, or GCP. Discuss any containerised deployments you've worked on, as this is crucial for the role and demonstrates your ability to manage scalable infrastructure.
✨Tip Number 4
Prepare to discuss your collaborative experiences with cross-functional teams, especially with design and ML teams. Being able to articulate how you've successfully brought AI-powered applications to life will set you apart from other candidates.
We think you need these skills to ace Software Engineer, Enterprise Engineering London, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in backend and full-stack development, particularly with Python and frameworks like FastAPI. Emphasise any projects related to AI applications or cloud infrastructure.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your skills align with Scale AI's mission. Mention specific experiences that demonstrate your ability to bridge the gap between AI research and production.
Showcase Relevant Projects: Include links to any relevant projects or GitHub repositories that showcase your work with AI-driven applications, backend services, or cloud infrastructure. This will give the hiring team insight into your practical skills.
Prepare for Technical Questions: Anticipate technical questions related to backend development, API design, and cloud services. Brush up on your knowledge of Python, FastAPI, and modern frontend technologies to demonstrate your expertise during interviews.
How to prepare for a job interview at Scale AI, Inc.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and backend frameworks like FastAPI or Flask. Bring examples of projects where you've built scalable APIs or services, and be ready to explain your thought process and the challenges you faced.
✨Demonstrate Your AI Passion
Since this role is focused on AI-driven applications, share any relevant experiences you've had with AI technologies. Discuss projects where you've integrated AI models or worked on agent-based systems to show your enthusiasm and understanding of the field.
✨Prepare for System Design Questions
Expect questions that assess your ability to design scalable systems. Think about how you would approach building a backend service for an AI application, including considerations for performance, security, and cloud infrastructure management.
✨Highlight Cross-Functional Collaboration
This role requires working closely with design, product, and ML teams. Be ready to provide examples of how you've successfully collaborated in the past, focusing on communication and teamwork to bring complex projects to fruition.
