AI Infrastructure Engineer, Agentic Systems for Biomedical Research (San Donato Milanese)

AI Infrastructure Engineer, Agentic Systems for Biomedical Research (San Donato Milanese)

15 set
|
IRCCS Policlinico San Donato
|
San Donato Milanese

15 set

IRCCS Policlinico San Donato

San Donato Milanese

Institute for Molecular and Translational Cardiology (IMTC), IRCCS Policlinico San Donato, San Donato Milanese (Milan, Italy) Fixed-term contract, tempo pieno, on site.
Our group is led by Prof. Luigi Anastasia, Professor of Biochemistry at Universita Vita-Salute San Raffaele. We work at the intersection of chemical biology, regenerative medicine and cardiovascular research, combining experimental science with omics and computational analysis.
Publications: Scholar:
We are opening a new position to build the software layer that will let AI agents support our research in a dependable way. This is an engineering role, distinct from the omics and data analysis carried out by our scientists. The focus is not a specific scientific question, but the infrastructure through which answers are produced: its design, deployment and operation.
Responsibilities
- Design and build the infrastructure that lets AI agents reach scientific literature, internal documents, analysis pipelines, databases and computing resources through clearly defined tools and permissions.
- Deploy and operate that layer:



versioning, logging, monitoring, backup, secrets management and human approval for sensitive actions.
- Define how an agent is assessed before it is trusted in routine work: accuracy, reproducibility, failure modes and cost.
- Integrate it with our existing data and analysis environment without weakening security or reproducibility.
- Maintain the systems and document them so the team can operate and extend them.

Requirements
- Solid Python, demonstrated through academic, personal, open source or professional work.
- Practical experience with LLM based applications that goes beyond prompting: tool use, state, error handling, multi step workflows.
- Working knowledge of Linux, Git, containers and APIs.
- Willingness to own a system after the first prototype, and to test it seriously rather than demonstrate it.
- Clear written and spoken English. Italian is useful but not required.

Desira

📌 AI Infrastructure Engineer, Agentic Systems for Biomedical Research (San Donato Milanese)
🏢 IRCCS Policlinico San Donato
📍 San Donato Milanese

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