Applied AI Engineer

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)
• Familiarity with cloud environments (AWS, GCP, or similar)
• Strong problem‑solving skills and a builder mindset
• High level of daily engagement with modern AI tools like Claude Code and Codex
• Ability to interact with non‑technical stakeholders and translate needs into practical solutions
• Familiarity with the pharmaceutical domain, clinical trials data, or regulated environments is a plus

Education

• Master’s degree in Computer Science, Data Science, Mathematics, Engineering, or related field
• Strong academic background with international exposure

What We Offer

• The opportunity to build and shape core AI systems, and contribute to applied frontier ML research across both operations and scientific workflows
• A competitive salary package ranging from €50,000 to €70,000, depending on experience and profile
• Direct exposure to leadership and high‑impact projects across the organization
• A fast‑moving, engineering‑driven environment focused on real delivery, not prototypes