Senior Software Engineer - AI Native Platforms

Overview

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 Senior Software Engineer (AI Engineering), you’ll take a leading role in designing and implementing agent-ready systems and developer tools. You’ll build production-grade software that enables safe, scalable, and AI-augmented engineering, while mentoring and guiding engineers to raise the bar across the team.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 where 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.

Responsibilities

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 or eagerness to advance in:

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

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 ..... full job details .....