h3Job Purpose /h3 pThe 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.
/p h3Key Accountabilities /h3 ul liDesign 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.
/li liBuild and optimize retrieval-augmented generation pipelines, covering chunking, embedding, indexing, retrieval strategies and reranking.
/li liDevelop, maintain and document assigned shared libraries and internal components reused by the AI engineering team, applying the team's approved architecture and engineering standards.
/li liBuild and run content-ingestion pipelines for AI knowledge bases, including incremental indexing, schema handling and data-quality controls.
/li liIntegrate AI services with MSC operational systems through APIs and agent tools so that agents can retrieve data and act on it.
/li liBuild and maintain evaluation harnesses that measure AI-output quality and use them to validate prompt, model and retrieval changes before release.
/li liUse AI coding assistants as a standard part of the development workflow and contribute practical improvements to the team's approved ways of working.
/li liParticipate in code review, testing and release activities, applying established engineering standards and contributing improvement proposals.
/li liWork with central infrastructure and DevOps functions to deploy and operate AI services, providing application-side configuration and instrumentation.
/li liProduce and maintain technical documentation for the services and components developed.




/li /ul h3Qualifications /h3 ul liEnglish as the primary working language.
/li liDegree in Computer Science, Information Technology, Engineering or a related field.
/li li4-7 years of total professional experience.
/li liHands-on experience building production services in Python.
/li liStrong Python development skills; this is a hands?on role involving regular contribution to production code.
/li liHands?on experience building LLM applications with frameworks such as LangChain, LangGraph, the Microsoft Agent Framework or comparable technologies.
/li liPractical experience with agent patterns, including tool calling, structured outputs, multi?step orchestration and streaming.
/li liExperience building retrieval?augmented generation systems, including embeddings, vector stores, retrieval strategies and reranking.
/li liFluency with AI coding assistants such as GitHub Copilot, Claude Code or Cursor as part of the development workflow.
/li liSoftware?engineering discipline, including testing, code review, version control and continuous integration.
/li liWorking knowledge of cloud services, preferably Azure, including Azure OpenAI.
/li liAnalytical mindset and a structured approach to debugging distributed and non?deterministic systems.
/li liGood communication and interpersonal skills, with the ability to work alongside engineering teams and business stakeholders.
/li liExperience with LLM evaluation approaches, including LLM-as?judge and regression testing for non?deterministic systems, is an advantage.




/li liExperience with asynchronous Python and streaming APIs is an advantage.
/li liFamiliarity with LLM observability and tracing tooling is an advantage.
/li liExposure to containers and Kubernetes is an advantage.
/li liBackground in travel, hospitality or another large?scale consumer business is an advantage.
/li /ul h3VISA Requirements /h3 pRight to work in Italy /p h3What we offer /h3 pIn compliance with the applicable pay transparency legislation, the following information is provided regarding the initial compensation foreseen for the position.
/p h3Contract /h3 ul liType of contract: Permanent /li liHybrid working model: 2 days per week remotely /li liApplicable Collective Labour Agreement (CCNL): "Addetti agli uffici ed ai terminals delle società di navigazione che esercitano l'armamento privato" – sez.
personale di terra /li liGross annual salary (RAL): between €****** – €****** gross per year, paid over 14 monthly installments /li liMeal vouchers: worth €8 per on?site working day /li /ul pThe 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.
/p h3WelfareWellbeing /h3 pWe offer a range of WelfareWellbeing Initiatives as well as benefits including Productivity award, Health Insurance, Learning opportunities, flexible working hours, Employee Assistance Programme, Discounts Partnerships within the MSC group.
/p h3Our commitment /h3 pWe 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.
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📌 Ai Platform Engineer (Napoli)
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