Senior/Staff Product Engineer (m/f/x)

About us We’re Cortea , a Berlin startup transforming audits with AI . Manual, document-heavy audits waste expert time while demand keeps rising. Our AI-powered software and specialized AI agents remove the repetitive work so auditors can focus on judgment. Backed by top-tier VCs with >15m funding, with a working product and paying customers, we’re rapidly scaling. We value first-principles thinking, speed, trust, and kindness . We build side by side in our Berlin office . Your Role We're looking for an experienced engineer who's happy anywhere in the stack and turns complex audit workflows into product auditors rely on every day. You pick up whatever a problem needs, from the data model to the interface to the agents behind it. A lot of what we build has no reference implementation. You're comfortable wading into something nobody has solved yet and shipping a first version that actually works. Our engineering team is a small, flat group of builders : strong ICs who open a laptop when they see a problem instead of scheduling a meeting. Everyone owns real product and architecture decisions, and that's exactly what we want more of. What you'll do Build the interfaces auditors work in, partnering with design to turn complex flows into something that feels effortless Build and improve the agents at the core of the product, plus the harnesses and eval pipelines around them Make the long-running workflows behind the product reliable and debuggable, so failures surface fast instead of silently Use AI heavily in your own workflow to move faster, without ever shipping output you can't stand behind Drive the how in RFCs and technical discussions with other engineers, and partner with product on the what Qualifications You'll fit here if you: Have 5+ years shipping production web applications across the stack Write production APIs and model the data behind them so it holds up under multi-tenancy and load Are strong on the frontend and can build genuinely complex UI Get how LLM agents actually work: agents, harnesses, tool use, and measuring quality with evals Keep up with where AI is moving and bring the latest tools into how you work to make yourself faster Bring a strong product mindset and real ownership of outcomes Make architectural decisions, weigh trade-offs, and build things other engineers can extend Are comfortable with ambiguity and work things out from fundamentals when there's no established answer Nice-to-haves that are a plus: Hands-on experience building agents, harnesses, or eval pipelines Data-dense or workflow-heavy B2B products Scaling multi-tenant systems as data and traffic grow Audit, finance, compliance, or another domain where being wrong is expensive Early-stage startup or fast-moving engineering environment No one checks every box. If you ship across frontend, backend, and data and own what you build, let's talk. Our tech React, TS, Tailwind, TanStack Python, Postgres, Temporal, Kafka, Redis GCP, Azure, k8s GitHub, Linear, Slac