Software Engineer, Enterprise
Software Engineer, Enterprise

Software Engineer, Enterprise

London Full-Time 48000 - 84000 £ / 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 leading the charge in enterprise AI, transforming workflows for major companies.
  • Benefits: Enjoy a dynamic work environment with opportunities for remote work and collaboration on cutting-edge technology.
  • Why this job: Be at the forefront of the GenAI revolution, impacting millions while shaping the future of AI applications.
  • Qualifications: 5+ years in backend or full-stack development, strong Python skills, and cloud experience required.
  • Other info: Inclusive workplace committed to equal opportunity and accommodating applicants with disabilities.

The predicted salary is between 48000 - 84000 £ 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.

About Us:

At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world’s most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. 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.

Software Engineer, Enterprise employer: Scale AI

At Scale AI, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and the chance to work on groundbreaking AI technologies that shape the future of enterprise solutions. Located in a vibrant tech hub, we provide a supportive environment where diverse talents can thrive, making a meaningful impact on industries worldwide.
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Contact Detail:

Scale AI Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Software Engineer, Enterprise

✨Tip Number 1

Familiarise yourself with Scale AI's products and services. Understanding their Generative AI Platform and how it integrates into enterprise solutions will give you a solid foundation to discuss during interviews.

✨Tip Number 2

Showcase your experience with backend frameworks like FastAPI or Flask. Be prepared to discuss specific projects where you've implemented these technologies, as this will demonstrate your hands-on expertise.

✨Tip Number 3

Highlight any collaborative projects you've worked on with cross-functional teams, especially those involving AI applications. This will illustrate your ability to work effectively in a team-oriented environment, which is crucial for this role.

✨Tip Number 4

Stay updated on the latest trends in AI and cloud technologies. Being able to discuss recent advancements or challenges in the field can set you apart and show your passion for the industry.

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

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 Experience
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 that involved 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 where you've successfully collaborated with cross-functional teams to deliver AI-driven solutions.

Showcase Your Projects: If you have worked on any AI-first applications or relevant projects, include links or descriptions in your application. Highlight your role, the technologies used, and the impact of your work.

Prepare for Technical Questions: Be ready to discuss your technical expertise in Python, cloud services, and modern web frameworks during interviews. Brush up on your knowledge of scalable APIs and backend optimisation techniques.

How to prepare for a job interview at Scale AI

✨Showcase Your Technical Skills

Be prepared to discuss your experience with backend technologies, especially Python and frameworks like FastAPI. Bring examples of projects where you've implemented scalable APIs or built full-stack applications, as this will demonstrate your hands-on expertise.

✨Understand AI Applications

Since the role focuses on AI-driven applications, make sure you can articulate your understanding of AI concepts and how they apply to software development. Discuss any relevant projects or experiences that highlight your passion for AI and your ability to work on AI-first applications.

✨Prepare for Collaboration Questions

Given the cross-functional nature of the role, be ready to share examples of how you've collaborated with design, product, and ML teams in the past. Highlight your communication skills and how you’ve contributed to successful project outcomes through teamwork.

✨Demonstrate Problem-Solving Skills

Expect to face technical challenges during the interview. Practice explaining your thought process when tackling complex problems, especially those related to cloud infrastructure and performance optimisation. This will show your analytical skills and ability to think critically under pressure.

Software Engineer, Enterprise
Scale AI
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  • Software Engineer, Enterprise

    London
    Full-Time
    48000 - 84000 £ / year (est.)

    Application deadline: 2027-04-08

  • S

    Scale AI

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