Applied Ai Engineer
Pubblicato il 18-10-2026 - Philogen in Milano
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
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