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 #J-18808-Ljbffr