Founding Engineer; Cortena
Listed on 2025-12-11
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IT/Tech
AI Engineer
đź‘‹ About Cortena
Cortena is building the next generation of AI-native financial intelligence for SMEs. Finance teams today are overwhelmed by fragmented workflows, manual operations, and disconnected tools that never deliver a complete picture.
We’re changing that.
Based in Rotterdam and backed by Builders Studio, Cortena is on a mission to give finance leaders clarity, foresight, and control - not by adding more tools, but by connecting finance workflows into a single coherent system. We combine modern AI, automation, and agentic financial reasoning to help companies make faster, smarter, and more confident decisions.
Cortena’s belief is simple: real financial intelligence only emerges when finance workflows stop living in silos. Cortena brings these workflows together into a single, connected platform where autonomous finance agents can run operations on clean, structured, and contextualised data. As these workflows converge, financial intelligence becomes something different - not a tool, but a natural output of an integrated, autonomous finance system.
As we enter a pivotal product-market fit phase with growing traction, we seek our Founding Engineer - a systems thinker and AI-driven builder - to pioneer the workflow connectivity, agentic automation, and intelligence layer that will define how modern companies run their finance function.
Why this role existsAs our Founding Engineer, you’ll be a cornerstone of Cortena’s product and technical DNA, working closely with our CTO.
Your mission: architect and implement our AI-driven financial core, ensuring this intelligence flows into a seamless, intuitive product that finance leaders love. This is about building new financial reasoning systems with LLMs, agents and sophisticated forecasting algorithms — shaping a system that learns, adapts, and guides decision‑making.
This role is for a versatile, hands‑on builder who thrives at the intersection of AI, financial data, and product design, and is motivated to solve one of the most challenging and impactful problems in business: giving SMEs real‑time clarity over their financials.
What you’ll pioneer & buildResearch, design, and implement novel AI approaches for financial intelligence.
Build and refine AI‑native financial models.
Architect and deliver high‑quality, full‑stack components (from financial data pipelines to pixel‑perfect UI) that bring financial intelligence to life.
Design scalable and secure data integrations and transformations with accounting systems (Xero, Exact, Quick Book, etc.) and adjacent tools (CRM, HRIS).
Develop robust data pipelines & MLOps for ingesting, cleaning, and reasoning over financial data.
Own the end‑to‑end lifecycle of AI features: from PoC to production, benchmarking, and continuous optimization.
Ensure a delightful user journey: turning complexity (multi‑source financial data) into clear, actionable insights.
Provide critical engineering input into product strategy and UX — ensuring the tech solves real finance team challenges.
Co‑define Cortena’s AI & data roadmap with the CTO, aligning tech possibilities with business strategy.
Core passion & mindset: Deep AI passion with a commitment to building exceptional, user‑centric products; a product‑minded engineer who champions great UX.
Full‑stack AI expertise: 5+ years of versatile software engineering (front‑end, back‑end, infrastructure) with a track record of deploying and optimizing production‑grade ML/AI systems.
Technical proficiency: Strong skills in our core stack (React, Type Script, Next.js) — or the ability to rapidly master new technologies.
Advanced AI skills: Hands‑on experience with LLMs, reliable Feature Extraction, RAG, and vector databases (fine‑tuning, embeddings, prompt engineering), plus a solid grasp of core ML principles.
Cloud & scalability: Proven ability to design and scale open‑source based cloud‑native apps and AI pipelines (Kubernetes, Nats, Mongo, Gitlab) with solid CI/CD practices. Ansible + Rancher experience for our self‑hosted Kubernetes cluster is a plus.
Financial data modeling: Experience working with structured financial datasets, applying ML/AI for forecasting and…
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