About this role
About HedvigHedvig is rewriting the rules of insurance. We're proving it's possible to disrupt an entire industry while genuinely keeping people's best interests at heart.
AI is becoming a core part of how we deliver that value. Not as a buzzword, and not as a research project, but as a practical tool to make our members spend less time on troubles.
The roleWe're looking for a senior backend engineer to help us build the next generation of AI-powered product experiences at Hedvig. You'll work across our stack, collaborate closely with product and design, and play a key role in turning AI capabilities into reliable features our members actually benefit from.
Concretely, you might find yourself:
Designing and shipping an LLM-powered service that helps triage incoming claims and drafts responses for human agents to review
Collaborating with ML engineers on building evaluation and monitoring pipelines so we know our AI features are working — and catch it quickly when they're not
Integrating model APIs into our Kotlin backend in ways that handle failure, cost, and latency gracefully
Prototyping new ideas with product and design, and deciding which ones are worth shipping
Helping the wider engineering team develop good judgment about where AI genuinely adds value — and where it doesn't
You'll spend most of your time designing systems, writing backend code, and shipping features. You do need to understand LLMs well enough to build reliable products with them.
Our stackBackend services in Kotlin with Spring Boot
GraphQL as our API layer
Microservices on AWS (with some GCP)
Web in Next.js on Vercel
Native mobile in Swift and Kotlin
LLM APIs from the major providers, with evals and observability we're actively investing in
You don't need to be an expert in all of this. We care more that you're comfortable navigating complex systems and picking up new technologies when the work requires it.
What we're looking for4+ years of professional backend software engineering experience
Take ownership of projects and larger initiatives end-to-end — aligning with product, design, and other stakeholders, navigating trade-offs, and driving them to a shipped, measurable outcome
Strong computer science fundamentals and a pragmatic approach to system design
Hands-on experience building features with LLMs or other AI tools. That could be integrating model APIs, designing prompt-driven features, building eval or automation workflows, or shipping AI-powered internal tools. Depth matters more than scale
Good judgment about when not to use AI. Some problems are better solved with a rule, a database query, or a conversation
Motivated by solving real customer problems, not by the technology for its own sake
What we offerA genuinely mission-driven product, a team that trusts engineers with real ownership, a modern stack, and the chance to shape how AI becomes part of a company that people actually depend on. We embrace mistakes, learn from them, and move forward — curiosity, accountability, and growth are how we work, not just how we talk about work.