Applied AI Engineer

Philogen S.p.A.

Turbigo

On-site

EUR 50,000 - 70,000

Full time

14 days+
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Benefits offered by this job

Competitive salary package
Direct exposure to leadership
Fast-moving engineering environment

Job summary

Philogen S.p.A. in Turbigo, Italy is seeking an Applied AI Engineer with 2-3 years of experience to develop and deploy AI applications and systems. Candidates should have strong programming skills in Python and TypeScript, experience with LLMs, and the ability to work across the entire stack. The role involves building AI applications, ensuring they are robust and compliant, and interfacing with stakeholders. The position offers a competitive salary between €50,000 and €70,000 depending on experience and profile.

Qualifications

  • 2–3 years of experience building and deploying software in production.
  • Strong programming skills with hands-on experience in AI systems.

Responsibilities

  • Build end-to-end AI applications from stakeholder discussions to deployment.
  • Develop and deploy LLM-based systems in production.
  • Design and maintain data pipelines.

Skills

Programming skills in Python
Programming skills in TypeScript
Experience with LLMs
Full-stack application development
Problem-solving skills
Engagement with AI tools

Education

Master’s degree in Computer Science or related field

Tools

AWS
GCP

Job description

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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