Software Engineer
Inshur
| Company | Inshur |
| Category | Engineering |
| Location | UK Remote |
| Remote | Remote |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 14 Apr 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (ashby) |
Description
🚕 Ready to pioneer the future of AI-augmented engineering and redefine the speed of software delivery? This could be the place for you!
$113M funded. Global footprint. AI-powered. Human-driven. 🚀
INSHUR is the embedded insurance powerhouse for the on-demand world. We partner with giants like Uber and Amazon to provide fair, data-backed coverage for the modern workforce. We’re 200 people strong across the UK, US, and Netherlands, using AI as a multiplier to stay ahead of the curve. Want to work where tech actually meets the road? You’re in the right place.
Find out more about our history, values, hiring process and more here https://inshur.slab.com/public/topics/inshur-playbook-dr5k6re7.
THE ROLE
As a Product-Minded Software Engineer III, you will be responsible for incrementally shipping value to customers, orchestrating AI agents to research, plan, and implement changes to our products while iterating with the wider team to leverage these tools to increase velocity and quality.
This role reports to an Engineering Manager and sits within a product team of 8-10, who believe in pioneering AI engineering workflows and transforming team practices through agentic collaboration.
This is a Hybrid role requiring regular in-person team meetings at our Brighton office, typically held on the last Thursday of each month for team connection.
WHAT YOU'LL DO
- AI-Native Development: Use agentic coding tools (Claude Code, Cursor) to research, plan, architect, and implement product changes quickly and with high quality, by guiding agents through complex tasks and validating against engineering standards.
- Break Down and Ship Value: You'll decompose product ideas into small, shippable increments of customer value, prioritising working software over speculative design and releasing frequently with measurable outcomes.
- Write Code Across the Stack: You'll write and review code across Go, Java (Spring), and/or Node.js, using AI tooling to bridge syntax gaps rapidly without compromising correctness.
- Lock In Behaviour: You'll define and implement tests in business-readable language that lock in behaviour, not implementation detail, ensuring confidence in what you ship.
- Establish Your Workflow: You'll establish and document a personal AI-native development workflow, drawing on existing repository patterns and proposing improvements to the broader developer experience, making the way we work better for everyone.
WHAT WE'RE LOOKING FOR
We care more about how you think than what's on your CV. If you meet most of the essentials and are excited about the problem, apply.
Essential
- Product mindset: You can take an idea and break it down into small iterations of value
- Outcome driven: Rather than going deep on tooling, you’re focussed on delivering value to customers in terms they understand
- AI-Native / Agentic Workflow: You have effectively used tools like Claude Code or Cursor to plan, architect, and code, and can clearly explain how you steer agents to achieve complex goals.
- Golang / Java/NodeJS - Polyglot Mindset: You possess a solid understanding of Go, Java (inc Spring) or NodeJS to verify code, while being able to use AI to bridge syntax gaps rapidly.
- Testing & Quality Assurance: You are able to articulate tests in business language, even when code is generated by AI.
Nice to have
- Scaling Experience: You have worked with asynchronous distributed systems
- Mentorship Track Record: You have experience sharing knowledge and upskilling teams on new technologies or methodologies.
- Behavioural testing mindset: When it comes to testing, you think in terms of locking in behaviour, not implementation
WHAT TO EXPECT FROM THE PROCESS
- Screen & Intro: 30-minute video call with the Talent Team to discuss the role and your experience with AI agents.
- HM Interview: 45-60 minute video call with the Engineering Manager and Head of Engineering to delve into workflow, mindset,
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