AI Infrastructure Engineer, Agentic Systems for Biomedical Research

AI Infrastructure Engineer, Agentic Systems for Biomedical Research

Full-Time Smart working non possibile
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Institute for Molecular and Translational Cardiology (IMTC), IRCCS Policlinico San Donato, San Donato Milanese (Milan, Italy) Fixed-term contract, full time, 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:https://pubmed.ncbi.nlm.nih.gov/?term=Anastasia+Luigi&sort=dateGoogle Scholar:https://scholar.google.com/citations?user=9nptryQAAAAJ&hl=en

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.

Desirable, not required: agent frameworks, MCP, self hosted model serving, CI/CD, workflow managers, experience with sensitive or health related data, open source work.

The position suits an early career engineer, including an outstanding recent graduate or a PhD candidate. We weigh evidence of what you have built more than job titles or years of experience. Remuneration will be commensurate with experience and qualifications.

Applications are reviewed on a rolling basis.

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Dettagli di contatto:

Team di recruiting di IRCCS Policlinico San Donato