Software Engineer, Enterprise Engineering London, UK
Software Engineer, Enterprise Engineering London, UK

Software Engineer, Enterprise Engineering London, UK

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • 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: Join a dynamic team dedicated to pushing the boundaries of AI technology.

The predicted salary is between 43200 - 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.
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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 during interviews but also demonstrate your genuine interest in the field.

✨Tip Number 2

Network with professionals in the AI and software engineering communities. Attend meetups, webinars, or conferences related to AI and enterprise applications to make connections that could lead to referrals.

✨Tip Number 3

Showcase your experience with backend frameworks like FastAPI or Flask by contributing to open-source projects or building your own projects. This practical experience can set you apart from other candidates.

✨Tip Number 4

Prepare for technical interviews by practising coding challenges that focus on Python and backend development. Websites like LeetCode or HackerRank can be great resources to sharpen your skills.

We think you need these skills to ace Software Engineer, Enterprise Engineering London, UK

Backend Development
Python Programming
FastAPI or Flask Frameworks
Full Stack Development
Next.js
React
TypeScript
Tailwind CSS
API Development
Cloud Infrastructure Management
AWS, Azure, or GCP
Docker and Kubernetes
AI Application Development
Cross-Functional Collaboration
Performance Optimisation
Code Quality Assurance

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 AI research and production, as well as your familiarity with the technologies listed in the job description.

Showcase Relevant Projects: Include links to your GitHub or portfolio showcasing projects that involve AI-driven applications, scalable APIs, or cloud infrastructure. This will provide tangible evidence of your skills and experience.

Prepare for Technical Questions: Anticipate technical questions related to backend development, cloud services, and AI integration. Be ready to discuss your previous work and how you approached challenges in fast-paced environments.

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 past projects where you developed backend or full-stack applications, highlighting your problem-solving skills and technical expertise.

✨Demonstrate Your Passion for AI

Since the role focuses on AI-driven applications, express your enthusiasm for AI technologies. Share any relevant experiences you've had with AI-first applications or agent-based systems, and discuss how you see AI transforming enterprise solutions.

✨Prepare for Collaborative Scenarios

Expect questions about cross-functional collaboration. Be ready to share examples of how you've worked with design, product, and ML teams in the past to bring projects to fruition, showcasing your teamwork and communication skills.

✨Understand the Company’s Vision

Research Scale AI and its products thoroughly. Understand their mission in the AI space and be prepared to discuss how your skills and experiences align with their goals. This will show your genuine interest in the company and the role.

Software Engineer, Enterprise Engineering London, UK
Scale AI, Inc.
Location: London
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  • Software Engineer, Enterprise Engineering London, UK

    London
    Full-Time
    43200 - 72000 £ / year (est.)
  • S

    Scale AI, Inc.

    50-100
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