Full Stack Engineer

ApplyMint

Greater London

On-site

GBP 85,000 - 110,000

Full time

7 days ago
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Job summary

Corgi is rebuilding financial infrastructure from the ground up, tackling core platform systems, data ingestion, and AI-powered workflows. You will join a small, high-output team that ships daily and collaborates across frontend, backend, and infra.

We value ownership and fast iteration, with production-grade systems and attention to reliability. You’ll work on insurance-related fintech problems, designing integrations and AI-driven improvements.

Qualifications

  • Experience building web apps across the stack.
  • Ability to work with Python, Golang, TS, Next.js, infra and PostgreSQL.
  • Comfort with integration-heavy systems and external APIs.

Responsibilities

  • Build core platform systems from MVP to production-grade with complex state handling.
  • Ingest data pipelines by parsing real-world formats from third-party systems.
  • Develop AI systems that impact business outcomes.
  • Ship features across multiple products and user types.
  • Design integrations with external platforms and monitor for issues.

Skills

Full-stack web apps
Python
Golang
TypeScript
Next.js
PostgreSQL
API integration
Production systems
AI workflows

Tools

AWS
Docker

Job description

Full Stack Software Engineer

Corgi is rebuilding financial infrastructure from the ground up. Our vision is to unlock efficiencies in every corner of the financial stack. Anything that is a bottleneck or a genuinely hard foundational problem, we are going after it, beginning with insurance. There are extremely interesting problems throughout the full insurance lifecycle: computing optimal pricing and underwriting, automating policy admin, streamlining claims adjusting workflows etc. We are rethinking everything from first principles. If you think you have ideas about how things should be done and are able to build them, this is the role for you.

We’re well-funded and backed by top investors, with the resources to build aggressively, but we operate like a small, high-output team. We don’t optimize for titles or org charts. We care about people who take ownership, move quickly, and want to build something massive.

What you’ll work on
  • Building core platform systems: taking MVPs to production-grade, handling complex state machines and edge cases where mistakes have real financial consequences
  • Building data ingestion pipelines - parsing messy real-world formats from third-party systems and turning them into clean, reliable data
  • Building automated AI systems that have serious business impacts and consequences
  • Shipping across multiple products - features often span multiple user types and systems
  • Designing integrations with external platforms - mapping third‑party APIs and building monitoring to catch issues early
What you won’t deal with
  • Ticket factories — engineers are involved in product decisions, not just execution
  • Slow shipping — we ship daily and prioritize user feedback
  • Siloed roles — you’ll work across backend, frontend, and infrastructure
  • Process for the sake of process — no story points, no unnecessary ceremonies
You should have
  • Strong experience building web applications across the stack
  • Ability to work across technologies (Python, Golang, TS, Nextjs, infra, postgres, etc.)
  • Comfort with integration-heavy systems and external APIs
  • Experience owning production systems end-to-end, including debugging and incident response
  • Excellent at utilizing AI to speed up your own workflows
  • Ability to question why things are the way they are
Bonus
  • Experience in insurance, fintech, or other regulated domains
  • Familiarity with AWS (S3, SQS, ECS) and Docker in production environments
About the interview

Please reach out giving examples of end to end projects that you have built previously, and what you would like to build on the team. Then we schedule a quick 30 min interview. If everything seems aligned then you come in person for a work assessment, where you get to work on a test project similar to what the job would actually look like. Then we give out offers and start asap.

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