Artificial Intelligence Engineer
Pubblicato il 18-09-2026 - Optimis Tech in Milano
Freelance AI Engineer (Italian Speaking) | Hybrid, Milan | 6-Month Contract + Extension
Location:
Hybrid, 1-2 days per week in Milan
Contract:
Freelance
Duration:
6 months initial contract with strong possibility of extension
Daily Rate:
Negotiable
Key Responsibilities:
- Design, develop and deploy end-to-end AI solutions for enterprise clients.
- Build intelligent applications using
Agentic AI
,
Large Language Models (LLMs)
and
Generative AI
technologies.
- Develop scalable backend services and APIs using Python.
- Design and implement microservices-based architectures for AI applications.
- Integrate AI models with enterprise systems and cloud environments.
- Collaborate with software engineers, architects and business stakeholders to deliver innovative AI solutions.
- Optimise, test and continuously improve AI applications for performance and scalability.
- Stay up to date with emerging AI technologies and contribute new ideas to the wider engineering team.
Essential Skills & Experience:
- 2+ years' commercial experience as an
AI Engineer
.
- Strong commercial experience developing AI solutions using
Python
.
- Hands-on experience with
Agentic AI
,
Large Language Models (LLMs)
and
Generative AI (GenAI)
.
- Experience designing and delivering end-to-end AI applications.
- Strong understanding of AI architecture, APIs and system integrations.
- Experience designing and developing microservices-based applications.
- Experience working with at least one major cloud platform, such as
Microsoft Azure, AWS or Google Cloud Platform (GCP)
.
- Experience with containerisation technologies such as
Docker
and orchestration platforms such as
Kubernetes
is highly desirable.
- Strong software engineering fundamentals, ideally supported by a Computer Science or Software Engineering background.
- Fluent
Italian
and
English
.
Nice to Have:
- Experience as a
Full Stack AI Engineer
, working across the complete AI solution lifecycle.
- Experience with Retrieval-Augmented Gene