AI Engineer

You will identify and prioritize AI and automation use cases with business stakeholders. You will build production-grade AI agents, RAG systems, structured extraction pipelines, and deterministic automations. You will maintain AI governance artifacts, review proposed initiatives, and contribute to data pipelines and infrastructure that support AI workloads.

Responsibilities

• Identify, scope, and prioritize AI and automation use cases with stakeholders
• Build deterministic automations, AI agents, RAG systems, and structured extraction pipelines
• Build and evaluate prototypes in an innovation-lab environment
• Maintain reusable version-controlled prompt and skill libraries
• Maintain the inventory of AI systems and use cases
• Run AI approval-process documentation, risk classification, model cards, and evaluation artifacts
• Review new AI initiatives and advise on scope, risk, and design
• Contribute to ELT pipelines using Dagster, SQLMesh, and dlt
• Build feature views, document indexes, and structured event tables
• Maintain infrastructure as code in Git

Requirements

• 3–6 years of relevant experience
• Production experience with LLM applications, including structured extraction and agentic patterns
• Python
• LLM evaluation, regression testing, observability, retrieval, and hallucination handling
• An orchestrator such as Dagster, Airflow, or Prefect
• A transformation framework such as SQLMesh or dbt
• SQL
• Cloud experience, ideally GCP and BigQuery
• Professional proficiency in English
• Eligibility to work in Switzerland

Benefits

• Regular company-wide meetings, knowledge-sharing sessions, and team events
• Modern central workplace in Zurich with top-tier infrastructure