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- Tasks: Design and implement AI systems and developer tools for seamless financial decision-making.
- Company: Join a mission-driven company focused on simplifying financial choices for everyone.
- Benefits: Enjoy hybrid working, generous holidays, private healthcare, and personal development opportunities.
- Why this job: Be part of a creative culture that values authenticity and celebrates every win.
- Qualifications: Strong backend development skills; eagerness to learn about AI integration and modernisation.
- Other info: Opportunity to drive your career with support from a talented team.
The predicted salary is between 28800 - 48000 £ per year.
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Job Description – Software Engineer – AI Native Platforms (006285)
Our purpose is to make great financial decision making a breeze for everyone, and that purpose drives us every day.
It’s why we’re on a mission to create an automated quoting engine, with the simplest of experiences, wrapped in a brand everyone loves!
We change lives by making it simple to switch and save money and that’s why good things happen when you meerkat.
We’d love you to be part of our journey!
As a Software Engineer (AI Engineering), you will be part of a team responsible for designing and implementing agent-ready systems and developer tools. You’ll write production-grade software that enables safe, scalable, and AI-augmented engineering.
Everyone is welcome!
We have a culture of creativity. We approach our work passionately, improve constantly and celebrate our wins at every turn. We are an inclusive workplace and our employees are comfortable bringing their authentic, whole selves to work. Everyone is welcome. Be you.
This means we’re excited to hear from people with a range of skills, experiences and ideas. We don’t expect you to tick all the boxes, but would love to hear what makes you great for this role.
Some of the great things you’ll do:
• Build and maintain services that support AI agent interaction
• Apply GenAI to modernise, refactor, and accelerate legacy systems
• Implement APIs, contracts, and metadata aligned with the Model Context Protocol
• Contribute to internal tooling that supports AI-native SDLC workflows
• Participate in design reviews, code reviews, and incident response
What we’d like to see from you:
• Strong backend development experience
• Familiarity with or eagerness to learn:
o Model Context Protocol for managing context and tool interfaces for agents
o LLM integration patterns including prompt orchestration and tool calling
o Retrieval-Augmented Generation (RAG) for dynamic context injection
o GenAI-enhanced development tools and frameworks such as Cursor, Unblocked.
What will success look like:
• Delivers high-quality, maintainable code that meets spec
• Owns problems end-to-end from design through deployment
• Quickly learns and applies emerging AI-native engineering patterns
• Raises the bar for system simplicity, clarity, and agent-readiness
There’s something for everyone.
We’re a place of opportunity. You’ll have the tools and autonomy to drive your own career, supported by a team of amazingly talented people.
And then there’s our benefits. For us, it’s not just about a competitive salary and hybrid working, we care about what matters to you. From a generous holiday allowance and private healthcare to an electric car scheme and paid development, wellbeing and CSR days, we’ve pretty much got you covered!
#LI-HL1
Primary Location
United Kingdom
Work Locations
Pegasus House, Bakewell Road, Orton Southgate, Peterborough PE2 6YS
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Software Engineer - AI Native Platforms employer: Compare the Market
Contact Detail:
Compare the Market Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer - AI Native Platforms
✨Tip Number 1
Familiarise yourself with the Model Context Protocol and LLM integration patterns. Understanding these concepts will not only help you during interviews but also demonstrate your eagerness to learn and adapt, which is highly valued in our team.
✨Tip Number 2
Showcase any experience you have with AI-native development tools and frameworks like Cursor or Unblocked. If you haven't used them yet, consider exploring them before your interview to discuss how they could enhance your work at StudySmarter.
✨Tip Number 3
Prepare to discuss your approach to writing maintainable code and how you ensure quality in your projects. We value engineers who can own problems from design through deployment, so be ready to share examples of your past experiences.
✨Tip Number 4
Engage with our company culture by researching our mission and values. Be prepared to share how your personal values align with ours, as we are looking for individuals who can contribute to our inclusive and creative workplace.
We think you need these skills to ace Software Engineer - AI Native Platforms
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to understand the key responsibilities and required skills. Tailor your application to highlight your relevant experience in backend development and AI technologies.
Showcase Your Skills: In your CV and cover letter, emphasise your experience with backend development and any familiarity with AI concepts mentioned in the job description, such as Model Context Protocol or GenAI tools.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also conveys your passion for AI and software engineering. Mention how you align with the company's mission to simplify financial decision-making.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Compare the Market
✨Showcase Your Backend Development Skills
Make sure to highlight your strong backend development experience during the interview. Be prepared to discuss specific projects where you've implemented robust backend solutions, as this is crucial for the role.
✨Familiarise Yourself with AI Concepts
Brush up on key AI concepts mentioned in the job description, such as Model Context Protocol and Retrieval-Augmented Generation. Showing enthusiasm and a willingness to learn about these topics can set you apart from other candidates.
✨Prepare for Technical Questions
Expect technical questions related to AI-native engineering patterns and API implementation. Practising coding problems and system design scenarios can help you feel more confident and articulate during the interview.
✨Emphasise Your Problem-Solving Abilities
Be ready to discuss how you've owned problems end-to-end in previous roles. Share examples of how you've tackled challenges from design through deployment, as this aligns with what the company values in their engineers.
