Cosuno | Senior Full Stack Developer (TypeScript) / Senior Machine Learning Engineer – Generative AI | Remote (EU) / Berlin | Full-time | https://www.cosuno.com
Cosuno is a fast-growing tech startup revolutionizing the construction industry with our digital platform for tenders and procurement. We use AI to analyze millions of price data points, helping construction companies create precise and efficient bids. We're looking to expand our team with creative minds who want to solve real-world problems and reshape a massive industry. We are an open-minded, collaborative, and international team.
We're hiring for two key senior roles:
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Senior Full Stack Developer (TypeScript)
Location: Remote (EU) / Berlin
Stack: TypeScript, React, Node.js, Cypress, Kubernetes, AWS
Mission: Take full ownership of features on both the frontend and backend of our product. You'll have the responsibility to extend and build upon our platform to make it more valuable, reliable, and maintainable. We value a trunk-based development workflow with daily releases, comprehensive end-to-end testing, and a solid CI/CD pipeline.
You have: 5+ years of hands-on engineering experience, substantial expertise in JavaScript/TypeScript, and experience with Node.js (React is a plus). You thrive in an agile environment and have a pragmatic, startup mindset.
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Senior Machine Learning Engineer – Generative AI
Location: Remote (EU) / Berlin
Mission: Own end-to-end ML workflows from data ingestion to production deployment. You will dive deep into core application domains like price prediction, two-sided market design (ranking/recommendations), or agentic workflows using state-of-the-art LLMs. A key part of your role will be establishing and enforcing MLOps and LLMops best practices.
You have: 5+ years of ML engineering experience, with at least one year working with LLMs. You possess strong Python skills, a proven track record of deploying containerized services (Docker, Kubernetes), and deep expertise in at least one of the following: deep learning (PyTorch, Transformers), ranking/matching algorithms, or LLMops (RAG, evals, fine-tuning).
Interested? To apply and for more detailed information, please see the full job descriptions on our careers page: https://www.cosuno.com/en/company