AI Automation Engineer: Build Intelligent, Regulated Apps

Proclinical; Schweiz; On-site; CHF 110,000 - 160,000; Full time

Job summary

Proclinical is seeking an AI Automation - Application Engineer in Switzerland to join a dynamic team building AI solutions that automate business processes. You will design, develop, and maintain tools that streamline operations, deliver insights, and ensure compliant deployment.

The role focuses on creating AI-powered automation, dashboards with R Shiny, and integrating systems through APIs and data pipelines, collaborating with data science, IT, and compliance teams.

Qualifications

• Experience designing and deploying AI-powered automation tools.
• Strong Python, SQL, and REST API skills.
• Experience with R Shiny and dashboards.
• Familiarity with cloud data warehouses (Snowflake) and AWS.
• Experience with AI agents and LangGraph framework.
• GxP or regulated environment exposure is a plus.

Responsibilities

• Develop and maintain AI agents to automate tasks such as report generation and document checks.
• Create dashboards using R Shiny to provide insights and flag issues.
• Automate manual processes across business tools and documents.
• Build supervised automations with user review before deployment.
• Design data pipelines and integrations for reliable insights.
• Write tested, version-controlled code and document tools.
• Collaborate with senior engineers and compliance teams to validate tools.
• Conduct user testing, provide training, gather feedback, iterate for adoption.
• Maintain and troubleshoot live tools as source systems evolve.

Skills

Python scripting

R Shiny

SQL

REST APIs

LLM APIs

Prompt design

Git version control

AI agents

LangGraph

Tools

Docker

AWS

Snowflake

Shiny (R)

Pandas

Requests

Job description

Proclinical is seeking an AI Automation - Application Engineer in Switzerland to join a dynamic team building AI solutions that automate business processes. You will design, develop, and maintain tools that streamline operations, deliver insights, and ensure compliant deployment.

The role focuses on creating AI-powered automation, dashboards with R Shiny, and integrating systems through APIs and data pipelines, collaborating with data science, IT, and compliance teams.