Software Engineer (Python)

Big Science Sweden; Genf; Hybrid; CHF 120,000 - 180,000; Full time

Job summary

CERN's Scientific Information Service, part of the OSI Department, is hiring to design, develop, and operate backend applications and data workflows using Python and Django. You will build APIs, data models, integrations, and processing pipelines for research platforms used worldwide.

You will bring ML/AI capabilities to production systems, evaluate new technologies, and ensure software quality through testing, reviews, and CI.

Qualifications

• Experience building backend services with Python/Django.
• Experience designing and consuming APIs and data processing pipelines.
• Familiarity with deploying ML/AI capabilities in production.

Responsibilities

• Develop, maintain, and operate scientific information applications using Python and Django, including APIs, data models, integrations, and data processing workflows.
• Integrate machine learning and AI capabilities into production systems, using technologies such as Large Language Models, retrieval-augmented generation, semantic search, and the Model Context Protocol.
• Evaluate emerging AI technologies and apply them to concrete scientific information use cases.
• Ensure software quality through automated testing, code review, monitoring, and continuous integration.
• Collaborate with software engineers, product owners, and information specialists on technical solutions and architecture.

Skills

Python

Django

APIs

ML/AI concepts

Tools

REST APIs

Git

Docker

Job description

Join CERN’s Scientific Information Service, as part of theOSI Department , and contribute to the development of platforms such as INSPIRE, SCOAP³, CERN Analysis Preservation and HEPData, used by researchers and scientific communities worldwide. You will design, develop, and operate backend applications, APIs, integrations, and data processing workflows, working primarily with Python and Django.

You will also help bring machine learning and emerging AI capabilities to these platforms, including information extraction, classification, matching, recommendation, semantic search, RAG, and LLM-based applications. You will explore new ways of connecting scientific information platforms, including technologies such as the Model Context Protocol, with a focus on production systems rather than fundamental ML research.

Your responsibilities

• Develop, maintain, and operate scientific information applications using Python and Django, including APIs, data models, integrations, and data processing workflows.
• Integrate machine learning and AI capabilities into production systems, using technologies such as Large Language Models, retrieval-augmented generation, semantic search, and the Model Context Protocol.
• Evaluate emerging AI technologies and apply them to concrete scientific information use cases.
• Ensure software quality through automated testing, code review, monitoring, and continuous integration.
• Collaborate with software engineers, product owners, and information specialists on technical solutions and architecture.