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Cortea is a Berlin-based AI startup transforming the audit industry. The company uses AI-powered software and specialized AI agents to automate repetitive, document-heavy audit work, freeing expert auditors to focus on high-judgment tasks. Backed by top-tier VCs with over €15M in funding, Cortea has a working product and paying customers and is scaling rapidly.
You will be an experienced full-stack engineer who can own complex audit workflows end-to-end. The role spans frontend, backend, data modeling, and AI agent development. You'll build the interfaces auditors use daily, develop and improve the LLM agents at the product's core, create reliable long-running workflows with fast failure detection, and drive technical decisions through RFCs and architectural discussions.
The engineering team is small and flat—strong individual contributors who solve problems directly rather than through process. Everyone owns real product and architecture decisions. You'll work on problems with no established reference implementation, shipping first versions that actually work. You're expected to use AI heavily in your own workflow to move faster while maintaining high standards for what ships.
Key responsibilities include: building complex, intuitive UI in partnership with design; developing and improving LLM agents, harnesses, and evaluation pipelines; ensuring long-running workflows are reliable and debuggable; making architectural decisions and weighing trade-offs; and partnering with product on strategy while owning technical execution.
The tech stack includes React, TypeScript, Tailwind, TanStack on frontend; Python, Postgres, Temporal, Kafka, Redis on backend; GCP and Azure for infrastructure; and Kubernetes for orchestration.
Cortea values first-principles thinking, speed, trust, and kindness. The team works together in the Berlin office with team lunches, retreats, and flexible vacation.
QUALIFICATIONS
Required:
- 5+ years shipping production web applications across the full stack
- Strong backend skills: production APIs and data modeling that handles multi-tenancy and load
- Strong frontend skills: ability to build genuinely complex UI
- Deep understanding of how LLM agents work: agents, harnesses, tool use, and quality measurement via evals
- Ability to keep pace with AI developments and integrate latest tools into your workflow
- Strong product mindset with real ownership of outcomes
- Ability to make architectural decisions, weigh trade-offs, and build extensible systems
- Comfort with ambiguity and ability to work from first principles when no established answer exists
Nice-to-haves:
- Hands-on experience building agents, harnesses, or eval pipelines
- Experience with data-dense or workflow-heavy B2B products
- Experience scaling multi-tenant systems
- Background in audit, finance, compliance, or similar high-stakes domains
- Early-stage startup or fast-moving engineering environment experience
