Full Stack Developer

For our client located in Basel, Switzerland we are currently looking for a Full Stack Developer (m/f/d)

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). This role requires proficiency in both Python front-end and back-end development, with a focus on expanding the platform's capabilities and use cases.

The perfect candidate 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. Please upload more Senior profiles.

General Information:

• Start date: asap
• latest Start Date: 01.07.2025
• Planned duration: 5 months
• Extension (in case of limitation): rather unlikely
• Workplace: Basel
• Workload: 100%
• Remote/Home Office: max. 40%

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.
• English fluent Must, german optional