Job Description

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
Job Types: 100%, Permanent

Work Location: In person