The opportunity

We build agentic AI for intellectual property. Legal and IP teams use our software to reason across massive document sets, surface evidence, and produce litigation-grade work faster and more reliably. Intellectual property is one of the last durable moats, and we're at the very beginning of defining what great AI-native software for it looks like. We already work with leading IP firms and Fortune 500 companies.

The role

You'll own the platform every agent in our product runs on. Our customers hand us long-running, document-heavy work: agents reason for hours across millions of pages. The infrastructure underneath has to be fast, secure, and invisible to the people relying on it. You'll shape how we scale from hundreds to thousands of concurrent agent sessions, set the bar for reliability and security, and make architectural calls the rest of engineering will build on for years.

What you'll do

Platform: Design and run the Kubernetes platform behind large-scale agent workloads, including scheduling, autoscaling, and isolation across customers.
Reliability: Build the systems that keep agent sessions fast and resilient under heavy, unpredictable load.
Infrastructure: Own our infrastructure as code and the path to production on Azure, with enterprise-grade security, compliance, and data residency built in from the start.
Data: Make storage and data pipelines durable and performant for workloads spanning millions of documents.
Observability: Build tooling that tells us why something is failing, not just that it is.

What you bring

You've designed and scaled distributed systems in production and have well-earned opinions on what makes them reliable. You take end-to-end ownership and want to set the standard for the team that follows.
Deep expertise in Kubernetes, cloud infrastructure, and infrastructure as code. We run on Azure with Terraform, but equivalent depth on another stack counts.
You're a software engineer first, strong in TypeScript and/or Python, and comfortable building the services that run the platform, not just configuring them.
You treat reliability, performance, and cost as product decisions, and you instrument before you guess.

Bonus: experience running AI or inference-heavy workloads at scale, or with enterprise security and compliance.

Logistics

Location: Stockholm, Sweden (on-site)
Type: Full-time, Engineering

We are an equal opportunities employer and welcome applications from all qualified candidates, regardless of age, disability, gender, gender identity, sexual orientation, ethnicity, religion, or background. Selection is based solely on suitability for the position.