Applied ai engineer
Pubblicato il 05-10-2026 - Philogen in Italia
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 Type Script Hands‐on experience with LLMs and modern AI systems (e.g., APIs, agents) Ability to build full‐stack applications (frontend + backend + infrastructure) Familiarity with cloud environments (AWS, G