AI Platform Engineer

MSC Cruises; Napoli; Hybrid; EUR 40,000 - 47,000; Full time

Benefits offered by this job

Meal vouchers

Health Insurance

Welfare & Wellbeing initiatives

Flexible working hours

Job summary

MSC Cruises is seeking an experienced AI services engineer to develop production-ready AI services and shared components. The role is hands-on, contributing to agent workflows, retrieval pipelines and integration with MSC systems, with a focus on reliable delivery within governance standards.

You will design, build and maintain libraries, data ingestion pipelines and evaluation harnesses, collaborating with DevOps and infrastructure teams.

Qualifications

• Degree in Computer Science, Information Technology, Engineering or a related field.
• 4-7 years of total professional experience.
• Hands-on experience building production services in Python.
• Strong Python development skills; hands-on production coding.
• Hands-on experience building LLM applications with LangChain, LangGraph, Microsoft Agent Framework or similar.
• Experience with agent patterns: tool calling, structured outputs, multi-step orchestration and streaming.
• Experience building retrieval-augmented generation systems with embeddings, vector stores and reranking.
• Fluency with AI coding assistants such as GitHub Copilot, Claude Code or Cursor.
• CI/CD, testing, code review and version control.

Responsibilities

• Design and build AI services and agent workflows using LangChain, LangGraph, and the Microsoft Agent Framework.
• Build and optimize retrieval-augmented generation pipelines with embeddings and ranking.
• Develop and document shared libraries and internal components used by the AI engineering team.
• Create content-ingestion pipelines for AI knowledge bases with indexing and data-quality controls.
• Integrate AI services with MSC systems via APIs and agent tools.
• Develop evaluation harnesses to measure AI output quality before release.
• Use AI coding assistants as part of the development workflow.

Skills

Python

LangChain

LangGraph

Microsoft Agent Framework

LLM apps

APIs

CI/CD

Azure OpenAI

Kubernetes

GitHub Copilot

Education

Bachelor's degree in CS / IT / Engineering

Tools

Git

Docker

Kubernetes

Azure

Job description

Job Purpose

The role develops MSC AI services and the shared components on which they depend, implementing agent workflows, retrieval pipelines and integrations that bring approved AI use cases into production. It is a hands-on individual-contributor role focused on reliable delivery of complex engineering work within established architecture, quality and governance standards.

Key Accountabilities

• Design and build AI services and agent workflows using frameworks such as LangGraph, LangChain and the Microsoft Agent Framework, including orchestration logic, tool calling, structured outputs and streaming.
• Build and optimize retrieval-augmented generation pipelines, covering chunking, embedding, indexing, retrieval strategies and reranking.
• Develop, maintain and document assigned shared libraries and internal components reused by the AI engineering team, applying the team's approved architecture and engineering standards.
• Build and run content-ingestion pipelines for AI knowledge bases, including incremental indexing, schema handling and data-quality controls.
• Integrate AI services with MSC operational systems through APIs and agent tools so that agents can retrieve data and act on it.
• Build and maintain evaluation harnesses that measure AI-output quality and use them to validate prompt, model and retrieval changes before release.
• Use AI coding assistants as a standard part of the development workflow and contribute practical improvements to the team's approved ways of working.
• Participate in code review, testing and release activities, applying established engineering standards and contributing improvement proposals.
• Work with central infrastructure and DevOps functions to deploy and operate AI services, providing application-side configuration and instrumentation.
• Produce and maintain technical documentation for the services and components developed.

Qualifications

• English as the primary working language.
• Degree in Computer Science, Information Technology, Engineering or a related field.
• 4-7 years of total professional experience.
• Hands-on experience building production services in Python.
• Strong Python development skills; this is a hands‑on role involving regular contribution to production code.
• Hands‑on experience building LLM applications with frameworks such as LangChain, LangGraph, the Microsoft Agent Framework or comparable technologies.
• Practical experience with agent patterns, including tool calling, structured outputs, multi‑step orchestration and streaming.
• Experience building retrieval‑augmented generation systems, including embeddings, vector stores, retrieval strategies and reranking.
• Fluency with AI coding assistants such as GitHub Copilot, Claude Code or Cursor as part of the development workflow.
• Software‑engineering discipline, including testing, code review, version control and continuous integration.
• Working knowledge of cloud services, preferably Azure, including Azure OpenAI.
• Analytical mindset and a structured approach to debugging distributed and non‑deterministic systems.
• Good communication and interpersonal skills, with the ability to work alongside engineering teams and business stakeholders.
• Experience with LLM evaluation approaches, including LLM-as‑judge and regression testing for non‑deterministic systems, is an advantage.
• Experience with asynchronous Python and streaming APIs is an advantage.
• Familiarity with LLM observability and tracing tooling is an advantage.
• Exposure to containers and Kubernetes is an advantage.
• Background in travel, hospitality or another large‑scale consumer business is an advantage.

VISA Requirements

Right to work in Italy

What we offer

In compliance with the applicable pay transparency legislation, the following information is provided regarding the initial compensation foreseen for the position.

Contract

• Type of contract: Permanent
• Hybrid working model: 2 days per week remotely
• Applicable Collective Labour Agreement (CCNL): “Addetti agli uffici ed ai terminals delle società di navigazione che esercitano l’armamento privato” – sez. personale di terra
• Gross annual salary (RAL): between €40.000 – €47.000 gross per year, paid over 14 monthly installments
• Meal vouchers: worth €8 per on‑site working day

The offer in terms of salary will be determined based on the candidate’s professional experience, technical competencies, and the level of autonomy and responsibility assigned to the role.

Welfare&Wellbeing

We offer a range of Welfare&Wellbeing Initiatives as well as benefits including Productivity award, Health Insurance, Learning opportunities, flexible working hours, Employee Assistance Programme, Discounts & Partnerships within the MSC group.

Our commitment

We are committed to building a future that values diverse perspectives, embraces the world beyond borders, and fosters an inclusive environment where every individual feels valued, respected and empowered to be their authentic selves. Our commitment extends to taking meaningful, measurable actions that have a long‑term positive impact on our guests, our employees and our planet.