AI Platform Engineer Senior/Mid

We're building an AI-native claims operation. The models can already do remarkable work — what makes them reliable enough to hand real operational decisions to is the platform around them. That platform is what you'll own. We're an agile, senior team automating a complex, communication-heavy insurance operation, starting with residential property claims. Our agents run live cases today. Your job is to make the infrastructure they run on fast, observable, secure and boringly reliable — and to build it on solid, portable foundations rather than locking us into any one vendor.

Your tasks

• The Python services that orchestrate our agentic pipeline (eg. FastAPI, LangChain), and the platform they run on

• Our production runtime — deployment, scaling, resilience, and keeping services healthy under real load

• Release management — a proper branching and release strategy in Git, environment promotion, semantic versioning, and safe rollouts: canary/progressive delivery, feature flags, and clean rollback when something's wrong

• CI/CD pipelines and infrastructure-as-code — fast, safe, repeatable delivery from commit to production

• The async processing backbone — queued, scheduled and event-driven claim handling

• The data layer — choosing and running the right persistence and building it to scale, not inheriting whatever's easiest

• Observability and ops: tracing, logging, metrics, alerting

• Security and data protection — how we handle and isolate sensitive claim data in a GDPR-heavy domain

Your profile

• Have 5+ years in backend/platform/DevOps engineering, and think in systems, not just features

• Have real, hands-on experience building and operating production services on Kubernetes

• Have own a release process end to end — you know how to structure Git for a team, promote code across environments safely, and ship to production frequently

• Are strong in Python and comfortable owning cloud infrastructure end to end — cloud-agnostic by instinct, wary of lock-in, fluent in the primitives rather than any one provider's product catalogue

• Live in Docker, CI/CD

• Have solid database depth — you've diagnosed a slow query under load and fixed the root cause, and you can pick and run the right datastore

• Treat reliability, observability and security as first-class concerns

• Are comfortable being the platform owner in a small team — high autonomy, high ownership

Nice to have

• Experience with LLM-serving infrastructure, queues, or agentic/async workloads

• GitOps / progressive-delivery tooling (Argo, Flux, or similar)

• Java experience alongside Python

• Insurance, fintech, or another regulated domain; German (helpful, not required — we work in English)