Reach out directly about this role
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 are looking for an Engineer with strong data engineering and AI systems experience to build the data, evaluation, and observability foundation for production-grade LLM agents used in complex audit workflows.
This role sits at the intersection of backend engineering, data engineering, AI infrastructure, and LLM operations. You will work hands-on in our backend and agent architecture, building the systems that help us evaluate, monitor, debug, optimize, and continuously improve AI agents in production.
This is not a traditional analytics, BI, or dashboarding role. You should expect to write production code, design infrastructure, work inside backend systems, and directly improve the quality, cost, reliability, and performance of LLM-based agents.
What You’ll Do You will help building and operating the technical infrastructure around our AI agents, with a focus on data infrastructure, evaluation, observability, and optimization. Your work will include:
Qualifications You will fit into this role if you:
Nice-to-haves that are a plus:
No one checks every box. If you’ve shipped retrieval systems and like owning evaluations and pipelines, let’s talk.
What we offer
Interview process
Full-time
Employment
Onsite
Work Format
Senior
Grade
C1 - Advanced
English Level
AI Engineering
Specialization
AI
Industry
Startup
Company Type
By city
AI Engineering
Specialization
AI
Industry
Startup
Company Type