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Artificial Intelligence Engineer

Pubblicato il 06-08-2026 - Optimis Tech in Lodi

Freelance AI Engineer (Italian Speaking) | Fully Remote | 6-Month Contract + Extension

Pronto/a a candidarsi? Prima di farlo, si assicuri di leggere tutti i dettagli relativi a questo lavoro nella descrizione sottostante.

Location: Fully Remote (Italy)

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 Generation (RAG), AI agents and multi-agent systems.
- Cloud certifications in Azure, AWS, Google Cloud Platform (GCP) or Databricks.
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related discipline.
- Experience working within Agile development teams.
- Curious, proactive and eager to learn new technologies and AI frameworks.

Interested? xrdztoy Contact to learn more about this fantastic opportunity!

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