AI Automation / Application Engineer

Excited by the opportunity to design and deploy AI applications that drive smarter decision-making?

Proclinical is seeking an AI Automation - Application Engineer to join a dynamic team focused on building innovative AI solutions that streamline business operations. In this role, you will work closely with cross-functional teams to design, develop, and maintain tools that automate processes, enhance decision-making, and improve efficiency. This position offers the opportunity to create impactful solutions while collaborating with experts in data science, IT, and compliance.

Responsibilities

Develop and maintain AI skills and agents to automate repetitive tasks such as report generation, document checks, and workflows. Create interactive dashboards using R Shiny or Shiny for Python, incorporating AI assistants to provide insights and flag issues. Automate manual processes across business tools, documents, and spreadsheets. Build supervised automations where outputs are reviewed and approved by users before implementation. Design and implement data pipelines and integrations to ensure reliable insights from business systems. Write tested, version-controlled code and produce clear documentation for tools and processes. Collaborate with senior engineers and compliance teams to validate tools for regulated use cases. Conduct user testing, provide training, gather feedback, and iterate on solutions to improve adoption and usability. Maintain and troubleshoot live tools, ensuring functionality as source systems evolve.

Key Skills and Requirements:

Proficiency in Python for scripting, automation, and data processing (e.g., pandas, requests). Experience with R and Shiny for developing and deploying applications. Strong SQL skills and familiarity with integrating systems via REST APIs. Practical experience with generative AI tools, including LLM APIs and prompt design. Familiarity with Git and version control, and ability to work iteratively with non-technical users. Experience with cloud data warehouses like Snowflake. Knowledge of building AI agents, agent skills, or connectors to business systems. Familiarity with agent frameworks such as LangGraph. Proficiency in business intelligence and data preparation tools. Experience deploying applications and scheduled jobs using containers (e.g., Docker) in a cloud environment like AWS. Background in pharmaceutical R&D or other regulated environments (e.g., GxP). A portfolio or GitHub profile showcasing relevant work is a plus.

If you are having difficulty in applying or if you have any questions, please contact Dean Fisher at (url removed).

If you are interested in applying to this exciting opportunity, then please click 'Apply' or to speak to one of our specialists please request a call back at the top of this page.

Proclinical is a leading life sciences recruiter focused on finding exceptional people and matching them with the finest positions across the globe. Proclinical is acting as an Employment Agency in relation to this vacancy.

By submitting this application, you confirm that you've read and understood our privacy policy, which informs you how we process and safeguard your data