Artificial Intelligence Engineer

Snapbau

  • Chavannes-de-Bogis, Vaud
  • CDI
  • Temps-plein
  • Il y a 1 jour
THIS JOB IS NOT A REMOTE JOB. WORK ONSITE IS OBLIGATORY.Snapbau is a digital purchasing management platform used by more than 320 construction companies in Switzerland, including major players such as Orllati, CPSA, Scrasa and ARSA. Our solution automates and optimises the management of calls for tender and purchasing, enabling companies to save time, reduce errors and centralise collaboration with suppliers.You will be part of the team responsible for designing and building the AI layer of Snapbau’s digital operating system for procurement and coordination in the construction sector.TasksAI System Design & Development
  • Develop machine learning and AI models to automate and optimize construction procurement workflows (e.g. price prediction, document classification, lead scoring, supplier matching).
  • Build generative AI features to assist with document generation, meeting summaries, and structured communication.
  • Create and maintain pipelines for training, testing, and deploying ML models.
  • Develop lightweight APIs or services to integrate AI modules into the Snapbau platform.
Data Engineering & Management
  • Work closely with backend developers to structure, clean, and extract usable data from various sources (e.g. supplier databases, project histories, tender documents).
  • Apply construction-specific taxonomies (e.g. eBKP-H, CRB) to enable structured, domain-relevant decision-making.
  • Improve model performance through effective feature engineering based on our domain data.
Product Integration
  • Collaborate with product managers and frontend developers to design and implement AI-powered tools for end users.
  • Ensure AI components are integrated into Snapbau’s user experience in a fast, reliable, and intuitive way.
  • Monitor model performance post-deployment and adjust based on feedback and new data.
Strategy & Innovation
  • Contribute to Snapbau’s long-term AI architecture and roadmap.
  • Stay updated on advancements in applied AI (LLMs, computer vision, agent workflows, etc.) and evaluate their relevance for construction tech.
  • Help define AI-related hiring, tooling, and infrastructure needs as the team scales.
Requirements
  • Proven experience in developing and deploying machine learning models (especially NLP, classification, recommendation, or price prediction).
  • Strong programming skills in Python; familiarity with frameworks such as PyTorch, TensorFlow, scikit-learn, FastAPI.
  • Experience building and maintaining ML pipelines.
  • Familiarity with REST APIs and integrating ML models into production environments.
  • Solid understanding of data wrangling and structuring from messy or unstructured sources.
  • Knowledge of or willingness to learn domain-specific standards such as eBKP-H or CRB is a strong plus.
  • Experience working in fast-paced, cross-functional product teams.
  • Ability to work autonomously while contributing to a strategic, long-term vision.
Join Snapbau if you want to shape how AI transforms the future of construction procurement. This role offers high impact, deep technical ownership, and a direct path into one of the most overlooked but critical sectors of the real economy.Snapbau

Snapbau