At a Glance
- Tasks: Build AI-powered products and solve complex technical problems in a dynamic environment.
- Company: Leading ecommerce company investing in innovative AI solutions.
- Benefits: Competitive salary, bonus, hybrid work, and great benefits.
- Other info: Significant ownership and career growth opportunities in a greenfield environment.
- Why this job: Join a major AI programme and shape the future of technology.
- Qualifications: Strong Python skills and experience with AI applications and scalable services.
The predicted salary is between 80000 - 98000 £ per year.
Our client is an ecommerce leader in the consumer space, and is investing heavily in building AI-powered products, intelligent automation solutions and next-generation customer experiences that will create meaningful commercial impact across the business. This is a role for someone who enjoys building software, solving complex technical problems and working with emerging technologies.
You’ll work at the intersection of software engineering, AI and product development, creating production-grade applications that leverage LLMs, agentic workflows and modern AI frameworks to solve real business challenges.
Opportunity- Join at the beginning of a major AI investment programme
- Build AI-powered products that will be deployed across a large ecommerce organisation
- Be one of the first dedicated engineers focused on developing AI applications and intelligent systems
- Significant ownership and technical influence from day one
- Greenfield environment with freedom to shape architecture, tooling and engineering standards
- Work closely with senior stakeholders to identify where AI can create genuine business value
- Design and deliver solutions that move beyond proof-of-concepts into production
- Opportunity to help shape the future direction of AI within a fast-growing business
- Exposure to a wide variety of AI, engineering and product challenges
- Design, build and deploy production-grade AI applications and services
- Develop intelligent workflows using LLMs, agentic architectures and orchestration frameworks
- Build RAG systems, knowledge retrieval platforms and AI-powered tooling
- Integrate AI applications with internal systems, business platforms and external services
- Develop scalable backend services and APIs that support AI-driven products
- Work closely with product, engineering and commercial teams to identify high-impact use cases
- Contribute to architecture decisions, platform design and engineering best practices
- Evaluate emerging AI technologies and determine where they can create competitive advantage
- Help establish standards around security, testing, observability and deployment of AI systems
- Strong software engineering foundations
- Experience building and deploying software products into production environments
- Excellent Python engineering skills and modern backend development experience
- Experience building APIs, integrations and scalable services
- Hands-on experience working with LLMs and modern AI frameworks
- Experience building AI applications rather than purely researching models
- Exposure to RAG architectures, vector databases and agentic workflows
- Experience with LangChain, LangGraph, OpenAI, Anthropic or similar technologies
- MCP or similar protocols for connecting AI systems with tools, data sources and business applications
- Ability to balance engineering quality with commercial outcomes
Up to £130,000 + Bonus + Benefits
London Hybrid (2 days per week in office)
Software Engineer AI in London employer: Aperia Search
As a leading ecommerce company in London, we offer an exciting opportunity for Software Engineers to be at the forefront of AI innovation. Our hybrid work culture promotes flexibility and collaboration, allowing you to thrive in a greenfield environment where your ideas can shape the future of AI-powered products. With significant ownership from day one and a commitment to employee growth, we provide a platform for you to develop your skills while making a meaningful impact on our business.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer AI in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Aperia Search or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Aperia Search.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Aperia Search.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Aperia Search that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Software Engineer AI in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Aperia Search.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Aperia Search and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Aperia Search
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Aperia Search uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
