At a Glance
- Tasks: Lead the design and development of AI services and modernise legacy systems.
- Company: Join a forward-thinking tech company in a hybrid work environment.
- Benefits: Enjoy competitive salary, health perks, and opportunities for professional growth.
- Other info: Be part of a dynamic team that values innovation and technical excellence.
- Why this job: Make a real impact by shaping the future of AI-native platforms.
- Qualifications: Proven backend development skills and experience with complex systems.
The predicted salary is between 70000 - 90000 € per year.
Function: Technology
Location: Hybrid, London or Peterborough office
Some of the Great Things You’ll Do:
- Lead the design and development of services that support AI agent interaction
- Drive the application of GenAI to modernise, refactor, and accelerate legacy systems
- Define and implement APIs, contracts, and metadata aligned with the Model Context Protocol
- Shape and evolve internal tooling that supports AI-native SDLC workflows
- Influence architecture decisions, conduct design and code reviews, and lead incident response
What We’d Like To See From You:
- Proven backend development expertise, with experience delivering complex, high-scale systems
- Ability to mentor, guide, and upskill engineers within the team
- Familiarity with:
- Model Context Protocol for managing context and tool interfaces for agents
- LLM integration patterns including prompt orchestration, multi-agent planning and tool calling
- Retrieval-Augmented Generation (RAG) for dynamic context injection
- Model selection / A/B testing / observability
What Will Success Look Like:
- Delivers high-quality, maintainable code that meets business needs
- Takes ownership of complex problems end-to-end, from design through deployment
- Rapidly learns, applies, and advocates for emerging AI-native engineering patterns
- Raises the bar for technical excellence, system simplicity, and agent-readiness
- Actively contributes to the growth and effectiveness of the wider engineering team
Senior Software Engineer - AI Native Platforms employer: Compare the Market
As a Senior Software Engineer at our hybrid London or Peterborough office, you'll be part of a dynamic team that champions innovation and technical excellence in AI-native platforms. We offer a collaborative work culture that prioritises employee growth through mentorship and continuous learning opportunities, alongside competitive benefits that support your well-being and work-life balance. Join us to make a meaningful impact while working on cutting-edge technology in a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer - AI Native Platforms
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those who work with AI and software engineering. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and backend development. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of AI-native platforms. Practice common algorithms and system design questions to impress during the interview process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Software Engineer - AI Native Platforms
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your backend development expertise and experience with complex systems. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI-native platforms and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex problems in the past. We’re looking for candidates who take ownership from design through deployment, so share those success stories!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Compare the Market
✨Know Your Tech Inside Out
Make sure you’re well-versed in backend development and the specific technologies mentioned in the job description. Brush up on your knowledge of the Model Context Protocol, LLM integration patterns, and Retrieval-Augmented Generation. Being able to discuss these topics confidently will show that you’re not just a fit for the role, but also genuinely interested in the work.
✨Showcase Your Leadership Skills
Since the role involves mentoring and guiding other engineers, be prepared to share examples of how you've successfully led teams or projects in the past. Highlight any experiences where you’ve influenced architecture decisions or conducted design reviews. This will demonstrate your capability to take ownership and elevate the team’s performance.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during the interview. Prepare for questions that test your understanding of complex systems and your problem-solving skills. Practise explaining your thought process clearly, as this will help interviewers see how you approach challenges and make decisions.
✨Be Ready to Discuss AI-Native Patterns
Familiarise yourself with emerging AI-native engineering patterns and be ready to discuss how you’ve applied them in previous roles. Share insights on how you can contribute to modernising legacy systems and improving internal tooling. This will show that you’re proactive about staying current in the field and can bring valuable knowledge to the team.
