Applied AI Engineer

**THIS JOB IS NOT A REMOTE POSITION. ON-SITE WORK IS MANDATORY.** Snapbau is a digital purchasing and procurement management platform used by more than **320 construction companies in Switzerland**, including major players such as **Orllati, CPSA, Scrasa and ARSA**. Our platform automates and optimises calls for tender, purchasing workflows, and supplier coordination, helping construction companies **save time, reduce errors, and centralise collaboration** across projects and stakeholders. You will join the team responsible for **designing and building the applied AI layer** of Snapbau’s digital operating system for procurement and coordination in the construction sector. This role is hands-on, product-driven, and focused on **real-world automation**, not research. ## Tasks **AI System Design & Development** * Design and build **applied AI systems** to automate construction procurement workflows, with a strong focus on: * Document data extraction (invoices, tenders, contracts, change orders) * Document classification and tagging * Entity matching (projects, suppliers, cost codes, budgets) * Implement **LLM-powered features** for structured document understanding, summaries, and assisted workflows. * Build and maintain **robust AI pipelines** combining OCR, LLMs, rules, and confidence scoring. * Develop lightweight APIs and services to integrate AI components into the Snapbau platform. **Data Engineering & Structuring** * Work closely with backend developers to: * Clean, normalize, and structure data from messy or unstructured sources * Design schemas that support reliable automation and analytics * Apply construction-specific taxonomies and standards to enable domain-relevant decision-making. * Improve system accuracy through pragmatic feature engineering and feedback loops. **Product Integration & Reliability** * Collaborate with product managers and frontend developers to deliver **AI features that are usable, fast, and trustworthy**. * Integrate AI systems into Snapbau’s workflows with clear confidence thresholds and fallback mechanisms. * Monitor performance post-deployment and continuously improve accuracy based on real user feedback. **Strategy & Evolution** * Contribute to Snapbau’s **AI architecture and technical roadmap**. * Evaluate new applied AI capabilities (LLMs, embeddings, agent workflows) and assess their real value for construction tech. * Help shape internal best practices around AI tooling, evaluation, and deployment as the team scales. ## Requirements * Proven experience building and deploying **applied AI or ML systems** in production environments. * Strong programming skills in **Python**; solid working knowledge of **SQL**. * Hands-on experience with: * NLP or document processing * Classification, matching, or recommendation systems * LLM APIs (OpenAI, Anthropic, or similar) * Experience integrating AI systems via **REST APIs** into real products. * Strong ability to work with **messy, unstructured data** and turn it into reliable outputs. * Familiarity with ML frameworks such as **PyTorch, TensorFlow, scikit-learn**, or equivalent. * Experience working in fast-paced, cross-functional product teams. * Willingness to learn construction-specific standards (prior experience is a strong plus). ## Benefits Join Snapbau if you want to **build AI that actually runs the real economy**. You’ll work on problems that matter, with: * High technical ownership * Direct impact on hundreds of construction companies * A fast path to shaping how AI is applied in one of the most complex and underserved industries **This role is:** * Product-focused * Accuracy-obsessed * Grounded in real business constraints * About building systems that work in production **This role is not:** * Academic research * Model training for its own sake * A “prompt-only” position * Fully remote Quelle: https://join.com/companies/snapbau/jobs/15469489-applied-ai-engineer

Level: mid level