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Applied Ai Engineer

Pubblicato il 04-10-2026 - Philogen in Bardi

About Philogen
Philogen S.P.A. is a biotechnology company dedicated to developing targeted products for the imaging and treatment of life‑threatening diseases, with a strategic focus on oncology. Our mission is to translate cutting‑edge scientific innovation into effective therapies that improve patients' lives.
Position Overview
AI is changing how software is built: smaller teams can now design, develop, and deploy complete systems end‑to‑end. This is enabling a new class of engineers who combine software engineering, data, and AI to deliver real applications, not just prototypes. At Philogen, we are building a small, high‑impact team focused on transforming core business processes into production‑grade AI systems. This includes applications used across clinical operations, R&D;, and corporate functions, in a regulated environment. We are looking for an Applied AI Engineer with 2–3 years of experience, strong coding skills, and a proven track record of shipping real‑world systems, with a strong interest in LLM‑powered applications.
What You Will Do




- Build end‑to‑end AI applications: from stakeholder discussions to UI, backend, and deployment
- Develop and deploy LLM‑based systems in production (e.G., agents, automation workflows)
- Design and maintain data pipelines and application backends
- Work across the stack: frontend, backend, and cloud infrastructure (AWS/GCP)
- Contribute to building a shared data and knowledge layer, including structured representations such as knowledge graphs
- Automate and digitalize business processes across Clinical, R&D;, Operations, and Finance
- Ensure solutions are robust, scalable, and compliant in a regulated environment

What We Are Looking For
- 2–3 years of experience building and deploying software in production
- Strong programming skills in Python and TypeScript
- Hands‑on experience with LLMs and modern AI systems (e.G., APIs, agents)
- Ability to build full‑stack applications (frontend + backend + infrastructure)
- Famil

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