Join our AI team and build the intelligent systems at the core of Cosuno's platform. AI for Construction: Take new models and AI capabilities from idea to production — design, train, evaluate, deploy, iterate — and own them end to end. Price Prediction: Improve the models that help users evaluate bids and make better procurement decisions, trained on millions of price data points. Ranking, Search & Retrieval: Iterate on the systems that match the right subcontractors to the right tenders. Experimentation & Evaluation: Design offline evals, run online A/B tests, and drive metrics-led iteration. AI Agent Development: Build and improve our agentic system that orchestrates multi-step reasoning to navigate the complex, often messy tendering workflow. Ship into the product: Take your work all the way to real users — model, backend service, API, and the integration into our TypeScript web app. Collaborate across teams: Work with Product, Engineering, and Data to translate business problems into shipped ML/AI features. Maintain production ML & AI: Monitoring, alerting, and continuous improvement of everything we deploy.
🏢 About Cosuno
Cosuno – Revolutionizing construction through technology. We are Cosuno – a fast-growing tech startup that is making the construction industry more efficient and transparent with our digital platform for tenders and procurement processes. Our goal: to solve the most complex challenges in the industry with innovation and simplicity.
🎯 The Role
As a Senior ML Engineer at Cosuno, you will be responsible for building and improving the intelligent systems that power our platform. You will work on a variety of AI and machine learning projects, from developing new models to deploying them in production and iterating based on real-world feedback.
✅ Key Responsibilities
Build and improve our agentic system that orchestrates multi-step reasoning to navigate the complex, often messy tendering workflow.
Take new models and AI capabilities from idea to production — design, train, evaluate, deploy, iterate — and own them end to end.
Improve the models that help users evaluate bids and make better procurement decisions, trained on millions of price data points.
Iterate on the systems that match the right subcontractors to the right tenders.
Design offline evals, run online A/B tests, and drive metrics-led iteration.
Ship into the product: Take your work all the way to real users — model, backend service, API, and the integration into our TypeScript web app.
Collaborate across teams: Work with Product, Engineering, and Data to translate business problems into shipped ML/AI features.
Maintain production ML & AI: Monitoring, alerting, and continuous improvement of everything we deploy.
📌 Required Qualifications
Strong ML & deep learning background: You have 5+ years building, training, and shipping machine learning models — classical ML and deep learning — in production. You're fluent in a modern deep learning framework, ideally PyTorch.
Strong Python: You have 5+ years writing production-grade Python. You write clean, well-structured code.
LLM application depth: You have deep hands-on experience building and deploying LLM/agent systems — RAG, tool use, multi-step reasoning, evals.
Experimentation rigor: You know how to evaluate models properly — offline metrics, online A/B tests — and let the data decide.
TypeScript, React, Node: You're comfortable shipping your work into our web app — backend service, API, and front-end integration.
End-to-end product delivery: You've shipped features (not just models) into a production system and owned the path from research code to real users.
Product mindset: You're comfortable with ambiguity and can judge when something is good enough to ship.
Sharp problem solver: You look at a complex system, quickly identify what matters, and decide what to do next.
Bias for action: When you're unsure something will work, your instinct is to find out with data rather than keep wondering.
⭐ Desirable Experience
Experience building search/ranking/recommendation systems or pricing models
Experience with embedding models, fine-tuning, or model training at scale
Domain exposure to construction, procurement, or marketplaces
🎁 Benefits
Shape a product that solves real-life problems in the construction industry
Work in an open-minded, collaborative, dynamic, and international team
Fully remote team and work culture
Freedom in your working hours. It's the results that count.
Company off-sites and regular team events (offline and online)
Flexible working conditions with the possibility to do workations
Competitive compensation, a permanent contract, and modern work equipment
