Full Stack Developer

Full Stack Developer

Experis is the global leader in professional resourcing and project-based workforce solutions.

On behalf of our Pharmaceutical company in Basel we are looking for a Full Stack Developer with proficiency in both Python front-end and back-end development, with a focus on expanding the platform's capabilities and use cases.

The Python Full Stack Developer will be responsible for maintaining and enhancing a platform currently in its early MVP stage, designed for document creation using Large Language Models (LLMs).

The perfect candidate is a senior professional who has strong programming skills, particularly in Python, with experience in both front-end and back-end development. Additionally the perfect candidates speaks English fluently and brings knowledge of Containerization and cloud native technologies.

General Information:

• Start date: we are looking for a candaidate who can start as soon as possible
• Latest Start Date: 01.07.2025
• Planned duration: 5 months
• Workplace: Basel
• Workload: 100%
• Remote/Home Office: max. 40%
• Language: English, German is optional

Tasks & Responsibilities:

• Develop and maintain both the Python front-end (Streamlit) and back-end of the application, ensuring seamless integration and functionality enhancements.
• Enhance the platform from its current early MVP state, integrating new use cases and expanding its capabilities.
• Collaborate with stakeholders to identify and integrate new feature requirements.
• Troubleshoot and resolve bugs to maintain the platform's reliability and efficiency.
• Ensure the platform remains scalable and secure, with an emphasis on efficient data handling and API management.
• Document system updates, feature enhancements, and operational procedures for ongoing maintenance and future upgrades.

Must Haves:

• Strong programming skills, particularly in Python, with experience in both front-end (Streamlit) and back-end development (Flask, …)
• Proven experience and understanding of Large Language Models (LLMs)
• Experience in the pharmaceutical industry, especially within clinical development )
• Experience with data engineering tasks, including data extraction, transformation, and loading (ETL).
• Knowledge of vector database technologies (e.g., FAISS, Milvus, Elasticsearch) and database indexing
• Knowledge of Containerization and cloud native technologies (Docker, Kubernetes, ArgoCD, …)
• Ability to work independently, manage multiple priorities, and communicate effectively with both technical and non-technical stakeholders.

If this job interests you please do send us your CV today through the link in the advert. However, should you have any questions please contact Elaine Kanwar at +41 61 282 22 23