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For Companies At a Glance
- Tasks: Design and build scalable AI systems that make a real-world impact.
- Company: Join a tech-led organisation pioneering AI integration in products.
- Benefits: Competitive salary, hybrid work, private healthcare, and professional development.
- Other info: Exciting career growth opportunities in a collaborative team.
- Why this job: Shape the future of AI in a dynamic, innovative environment.
- Qualifications: Strong software engineering skills and a passion for AI technologies.
The predicted salary is between 80000 - 120000 £ per year.
A technology-led organisation is building a genuinely AI-native capability, embedding artificial intelligence into its products, platforms, and long-term strategy. This permanent, full-time Software Engineer (AI Focus) role offers the opportunity to build robust, scalable systems that integrate AI into real-world applications, not just proofs of concept.
Responsibilities:
- Design, build, and maintain scalable Back End systems and services
- Contribute to the development and evolution of a production-grade AI platform
- Build and integrate AI-powered features such as LLM-driven services, RAG pipelines, and agent-based workflows into core systems
- Leverage tools like GitHub Copilot, Claude Code, Cursor, or similar AI-assisted engineering workflows
- Apply modern software engineering best practices (clean code, testing, CI/CD, observability) to all solutions
- Develop internal tools and platforms to improve developer productivity and system efficiency
- Collaborate closely with product, data, and platform teams to deliver high-quality features
- Evaluate and adopt emerging tools, frameworks, and technologies where they add clear value
- Support the adoption of AI capabilities across the wider engineering ecosystem
Requirements:
Essential:
- Strong software engineering experience building and maintaining production systems
- Solid understanding of system design, scalability, and performance considerations
- Experience developing Back End services and APIs in modern tech stacks
- Exposure to, or strong interest in, AI technologies such as Large Language Models (LLMs), including API integrations or prompt-based workflows
- Experience leveraging tools like GitHub Copilot, Claude Code, Cursor, or similar AI-assisted engineering workflows
- Proficiency in at least two modern programming languages
- Experience with version control, testing practices, and CI/CD pipelines
- Strong collaboration skills and experience working in cross-functional teams
Desirable:
- Experience integrating AI into production systems (e.g., chat interfaces, automation, intelligent search)
- Familiarity with Retrieval-Augmented Generation (RAG), vector databases, or embeddings
- Experience with cloud platforms (AWS preferred)
- Awareness of emerging AI tooling (e.g., MCP, A2A, Threads or similar)
- Open-source contributions or side projects, particularly involving scalable systems or AI
This role is best suited to software engineers who enjoy building reliable, scalable systems and are interested in applying AI to enhance real-world products and platforms.
What's in it for me?
- Permanent, full-time Software Engineer (AI Focus) role
- Competitive salary (£80,000 - £120,000)
- Hybrid working model with remote flexibility
- Private healthcare
- Professional development and funded learning
- Opportunity to work on modern, AI-enabled systems at scale
- Clear progression within a growing engineering function
This role offers a strong opportunity to shape how AI is embedded within a modern, technology-led organisation. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.
Software Engineer - AI in London employer: Fruition Group
Contact Detail:
Fruition Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer - AI in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, tech conferences, or even online webinars. The more you engage with others, the better your chances of landing that Software Engineer role.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio or GitHub repository with your projects, especially those involving AI technologies. This will give potential employers a taste of what you can do.
✨Ace the Interview
Prepare for technical interviews by practicing coding challenges and system design questions. Use platforms like LeetCode or HackerRank to sharpen your skills. Remember, confidence is key!
✨Apply Through Us
Check out our website for the latest job openings. Applying directly through us not only shows your interest but also gives you a chance to stand out in the application process. We’re rooting for you!
We think you need these skills to ace Software Engineer - AI in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI technologies and scalable systems. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or tools you've used!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background makes you a perfect fit for our team. Let us know what drives your passion for AI and software engineering.
Showcase Your Projects: If you’ve worked on any side projects or open-source contributions, make sure to mention them! We love seeing practical applications of your skills, especially if they involve AI or scalable systems. Include links if you can!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our team at StudySmarter!
How to prepare for a job interview at Fruition Group
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI technologies, especially Large Language Models and how they integrate into production systems. Be ready to discuss any relevant projects or experiences you've had with AI tools like GitHub Copilot or Claude Code.
✨Showcase Your Coding Skills
Prepare to demonstrate your proficiency in at least two modern programming languages. You might be asked to solve coding problems or discuss your approach to building scalable back-end services, so practice coding challenges beforehand.
✨Understand System Design
Familiarise yourself with system design principles, scalability, and performance considerations. Be prepared to talk about how you've applied these concepts in past projects, as this will show your ability to build robust systems.
✨Collaboration is Key
Highlight your experience working in cross-functional teams. Be ready to share examples of how you've collaborated with product, data, and platform teams to deliver high-quality features, as teamwork is crucial in this role.