Deviation reports that pile up on QA desks. Pharmaceutical teams spending their best hours on documentation instead of science. Visium is an enterprise AI company with deep roots in life sciences. Our two products, Scribe and Devin, are purpose-built for pharma teams operating in GxP-regulated environments, and are gaining traction with leading life sciences organizations across Europe.
Devin handles deviation management end to end, from event capture to root cause analysis and corrective action generation. This is a senior engineering role with real production stakes. It is not a research role.
It is a building role. Build and maintain scalable backend services and APIs in Python and FastAPI Design and implement RAG pipelines over domain-specific data, with strict requirements for accuracy, traceability, and compliance Set engineering standards for code quality, testing,
and deployment of agentic systems A strong Python engineer who has shipped production systems, not just prototypes Experience building production RAG systems: retrieval architectures, vector databases, embedding strategies, and evaluation frameworks Comfortable with cloud environments (AWS, GCP, or Azure) and distributed system design CI/CD, monitoring, deployment pipelines Excited about working in a domain where the quality of your work has real-world consequences A versátil working culture because your work-life balance matters to us Hybrid setup with high trust, autonomy, and flexibility","I think I messed up Actually we need to correct the final list.*
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🏢 Visium
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