AI Product Engineer
€90,000 – €120,000 / yr base salary
Posted 10 Sep 2026
Advertised as “Senior AI Product Engineer”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5+ yrs
- Management level
- Individual contributor
- Employment
- Remote
- Contract
- Full-time
| Base salary | €90,000 – €120,000 / yr |
|---|
Your mission
Join our team and build the intelligent systems at the core of Cosuno's platform.
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Generative AI: Build and improve our LLM-powered systems that navigate the complex, often messy tendering workflow.
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Ship end-to-end into the product: Own features from model/agent through API to the TypeScript front-end — backend service, API, and the integration into the web app.
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Collaborate across teams: Work with Product, Engineering, and Data to translate business problems into shipped AI features.
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Maintain production AI: Monitoring, alerting, and continuous improvement of everything we deploy.
Your profile
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TypeScript, React, Node: Non-negotiable. You're comfortable shipping into our web app end-to-end — front-end, backend service, API.
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Strong Python: You have 5+ years writing production-grade Python. You write clean, well-structured code.
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End-to-end product delivery: You've shipped AI-powered features into a production web app and owned the integration from research code to real users.
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LLM application depth: You have deep hands-on experience building and deploying LLM/agent systems — RAG, tool use, multi-step reasoning, evals.
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Backend engineering skills: You design APIs, data pipelines, and services.
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Product mindset: You're comfortable with ambiguity and can judge when something is good enough to ship.
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Sharp problem solver: You look at a complex system, quickly identify what matters, and decide what to do next.
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Bias for action: When you're unsure something will work, your instinct is to find out with data rather than keep wondering.
How We Build: Our Engineering Culture
We believe in a calm, collaborative, and productive engineering environment. We trust our engineers and give them the autonomy to do their best work. Our approach includes:
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Agile & Fast-Paced: We practice trunk-based development with daily releases to get value into our users' hands quickly.
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Quality by Default: We maintain a comprehensive Cypress E2E test suite and enforce strict typing, linting, and formatting rules to keep our codebase clean and maintainable.
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DevOps Mindset: Our well-oiled CI/CD pipeline deploys to AWS via Kubernetes, with our entire infrastructure managed as code using Terraform.