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Backend Python Developer

Job in 4040, Basel, Kanton Basel-Landschaft, Switzerland
Listing for: Swisslinx AG
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 CHF Yearly CHF 80000.00 100000.00 YEAR
Job Description & How to Apply Below

For a globally leading pharmaceutical company based in Basel, we are currently looking for an experienced Backend Python Developer (m/f/d) to join an innovative Data & Digital environment within the Computational Sciences domain.

The position is part of a strategic and award-winning initiative focused on building a scalable and unbiased evaluation platform for scientific target proposals. The project integrates selected open-source multi-agent systems and LLM-based frameworks into a comprehensive ranking solution that supports research and translational medicine teams.

  • Duration:
    Until December 31, 2026, with possible extension
  • Location:

    Basel (up to 2 days remote per week)

As a Backend Python Developer, you will play a key role in designing and implementing robust backend components within a modern cloud-native architecture.

Your main tasks will include:

  • Developing scalable backend services using Python
  • Designing and implementing high-performance REST APIs
  • Integrating machine learning components and multi-agent frameworks
  • Collaborating closely with cross-functional teams to define technical interfaces
  • Deploying and operating services in Kubernetes environments using Git Ops principles
  • Enhancing system quality through testing strategies, performance tuning, and tooling
Requirements

You hold a Bachelor’s or Master’s degree in Computer Science, Engineering, Bioinformatics, Information Systems, or a related field — or bring equivalent professional experience.

Additionally, you bring:

  • 5+ years of experience in Python backend development
  • Solid hands-on experience in REST API design
  • Experience with CI/CD pipelines (ideally Git Lab)
  • Strong understanding of containerized environments and Kubernetes
  • Exposure to ML engineering, ideally within life sciences or data-driven environments
  • Knowledge of LLMs or multi-agent frameworks is a strong plus

Maybe not for you, but for someone else?

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