Applied Ai Engineer
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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 OverviewAI 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
- 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
- EducationMaster's degree in Computer Science, Data Science, Mathematics, Engineering, or related fieldStrong academic background with international exposure xrtlpzc
- 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
Milan, Italy
Our recruitment adheres to the provisions of Legislative Decree 198/2006, and we welcome applications from candidates of any gender orientation or expression, sexual orientation, age, ethnicity, or religious belief.
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