AI Engineer
On behalf of one of our clients, a leading multinational company operating in the IT sector, we are seeking a
AI Engineer
(Ref. 38/26)
with proven experience, to join the Gen AI Team, reporting to the EMEA Gen AI Management. The successful candidate will be involved in the design, development and deployment of enterprise solutions based on Generative Artificial Intelligence, LLMs and the orchestration of agent-based systems.
They will work closely with multidisciplinary teams comprising technical and product roles. They will be involved in creating scalable products, contributing dynamically to value creation whilst maintaining robust standards of governance and security.
Specifically, they will be responsible for:
- developing AI components for enterprise products and platforms, including agents, unstructured data pipelines for RAG applications, inference services, LLM orchestrations and integrations with pre-trained or fine-tuned models;
- implementing application logic in Python (or equivalent languages), ensuring code quality, scalability and maintainability;
- integrating AI/ML APIs, cloud-based AI services and custom models within application and cloud-native architectures;
- co-designing and co-optimising architectures (Transformers, RNNs, LLM training on large datasets);
- designing agent-based workflows, tools and knowledge management components, collaborating with AI Architects and Data Scientists to transform prototypes and technical specifications into production-ready components;
- carry out testing, debugging, profiling and performance optimisation of the AI components developed;
- collaborate with DevOps/MLOps Engineers, supporting their development to integrate AI components into CI/CD, deployment and monitoring processes in cloud environments;
- contribute to the internal library of reusable AI components, templates, connectors and accelerators;
- participate in planning, refinement and technical review sessions, contributing to the continuous improvement of delivery methods.
Requirements:
The ideal candidate will have a background in STEM disciplines, preferably with a focus on Statistics and Mathematics; at least 5 years’ experience in AI Engineering and Machine Learning Engineering; skills in developing algorithms or AI/ML solutions in enterprise or technology contexts; knowledge of governance and AI security.
They also possess:
- solid knowledge of Python and the main AI/ML frameworks;
- experience with frameworks for GenAI and agentic AI applications, such as LangChain, LangGraph, LlamaIndex, Semantic Kernel or equivalents;
- experience with LLMs, RAG pipelines, embeddings, prompt engineering, model serving or integration of generative models;
- experience in the development and integration of REST APIs, cloud-based AI application services (Azure AI, AWS Bedrock, AWS SageMaker, Google Vertex AI), and architectures including distributed systems, event-driven architectures and microservices or cloud-based systems;
- familiarity with containerisation, Docker, Kubernetes and deployment practices in cloud environments;
- knowledge of MLOps principles and the main model lifecycle tools;
- ability to write clean, testable, documented and reusable code;
- knowledge of responsible AI practices, model evaluation, explainability, application security and data protection;
- cloud, AI/ML or software engineering certifications are desirable but not essential;
- good knowledge of the English language.
The profile is rounded off by: strong communication skills, a self-starter mindset, and the ability to work in cross-functional teams, combined with a dynamic, collaborative and results-oriented attitude. Good ability to present the results of one’s work as a speaker in front of an audience of specialists and/or non-specialists.
What’s offered:
- a permanent, full-time contract under the National Collective Labour Agreement for the Tertiary Sector;
- an indicative annual gross salary (RAL) ranging from €50,000 to €60,000;
- a bonus linked to the achievement of targets;
- meal vouchers worth €8;
- welfare,
Place of work: Milan. Possibility of smart working.
To apply for this job please visit www.jobonair.com.

