AI Engineer

Join to apply for the  AI Engineer  role at  Moviri

Moviri is a leading IT consulting and software company founded within the accelerator of Politecnico di Milano.

We leverage artificial intelligence, data, software, and advanced analytics to solve complex business challenges for Fortune 500 companies, multinational banks, global telecommunications and media groups, and some of the world’s most recognized brands.

Our consulting services focus on optimizing IT systems to be responsive, scalable, reliable, resilient, and cost‑effective.

Job Description
As an  AI Engineer  within the Moviri Consulting Analytics team, you will contribute to projects focused on analytics, automation, and intelligent systems.

Designing and building AI systems that support analytics and automation initiatives, ensuring reliability and robustness

Developing, training, and evaluating machine learning and generative AI models

Contributing to Retrieval‑Augmented Generation (RAG) pipelines and AI agent workflows, integrating models with external knowledge bases and APIs

Supporting model deployment, serving, and monitoring in cloud‑based or containerized environments

Contributing to data ingestion, cleaning, and transformation across multiple data sources, ensuring data quality and consistency

Continuously optimizing AI pipelines to improve performance, scalability, and maintainability

Integrating AI components into existing data and software architectures to enable scalable production deployments

Qualifications

Master’s degree in Computer Science, Computer Engineering, Data Science, Statistics, Mathematics, Engineering, Physics, or another STEM‑related field

Strong programming skills in Python and/or other languages (e.g., C++, R), with a solid understanding of software engineering principles

Experience or strong interest in AI agent frameworks (e.g., Lang Chain, CrewAI, Llama Index) for building autonomous, task‑oriented applications

Familiarity with AI/ML frameworks such as PyTorch, Tensor Flow, Hugging Face, and basic concepts of model lifecycle management

Experience or familiarity with cloud and container environments (AWS, Azure, GCP; Docker, Kubernetes) and CI/CD workflows

Knowledge of version control and collaboration tools (Git, Git Hub, Git Lab)

Understanding of data pipelines and data access patterns (APIs, databases, big data environments, message queues, vector stores)

Solid foundations in machine learning, statistical modeling, and data processing techniques

Interest in model deployment, serving, and monitoring from prototype to production

Strong analytical mindset, curiosity, and commitment to continuous learning in emerging AI technologies (LLMs, Generative AI, MLOps/LLMOps)

Ability to collaborate effectively in cross‑functional teams and clearly communicate technical concepts

Make a Real Impact at Moviri!  We are looking for motivated individuals who want to make a difference from day one and grow alongside a team of talented professionals.

Flexibility & Trust:  Enjoy autonomy and responsibility in a hybrid working model

Competitive Salary & Welfare:  Competitive compensation plus a €600 annual welfare package usable for fuel, utilities, wellness, and well‑being

Sustainability:  Fresh fruit in the office thanks to Cortilia, supporting local producers and environmentally responsible practices

Tech Your Way:  Choose your preferred laptop (Mac or Windows) to work with the tools that suit you best

Join Our Team
We cannot achieve our ambitions without the right people.

If this opportunity sounds like you,  apply now . It could be the start of your next chapter at Moviri.

Seniority Level
Entry level

Employment Type

Full‑time

Job Function
Consulting

Industries
IT Services and IT Consulting

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