Ai Engineer / Full Stack Developer – Ai Reporting & Insights

Mondel?z International; Barcelona; On-site; EUR 70,000 - 100,000; Full time

Job summary

Mondelēz International cerca ingegneri Full Stack AI per unirsi a un team in crescita dedicato a una nuova piattaforma di insight basata su AI. Lavorerai su pipeline dati, modelli AI/ML e applicazioni full stack che trasformano dati di mercato in raccomandazioni operative.

Il ruolo richiede solide competenze in Python, cloud AWS, Databricks e frameworks moderni come React/Next.js; sono previsti progetti cross‑funzionali e una cultura orientata all’innovazione.

Qualifications

• Provenienza con Python per pipeline e applicazioni di produzione.
• Esperienza in AI/ML, data engineering o full stack, con volontà di ampliare le altre aree.
• Esposizione a cloud AWS e Databricks (Spark/Delta Lake).
• Conoscenza di LLMs, retrieval-augmented generation e orchestrazione di agenti.

Responsibilities

• Progettare, costruire e mantenere data pipelines e trasformare dati di mercato e business.
• Sviluppare modelli AI/ML e workflow basati su LLM, inclusi RAG e orchestrazione di agenti.
• Creare applicazioni full stack (APIs, backend, frontend) per distribuire insight AI agli utenti di business.
• Implementare monitoring, logging e alerting per pipelines, modelli e applicazioni in produzione.
• Collaborare con Product, Data Science e stakeholder di business per tradurre requisiti in design tecnici e user stories.
• Contribuire alle decisioni di architettura della piattaforma (IaC con Terraform, containerizzazione Docker, CI/CD).
• Scrivere codice pulito, testato e ben documentato; partecipare a code reviews e sprint ceremonies.

Skills

Python

AI/ML engineering

Data engineering

Cloud platforms AWS

Databricks

LangChain/LangGraph

React/Next.js

REST/GraphQL API design

Tools

Docker

Terraform

Job description

Job Description Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It Uniquely Yours. You provide software and application knowledge to support implementation of the given solutions. How you will contribute You will ensure that delivered services are optimized to meet business demands and the service operations strategy, plan, measure, report and communicate service improvement initiatives, and serve as a consultant on issues and resolutions. You will also recommend actions that can be taken to optimize investments and benefits and to mitigate risks. This role will require you to identify suppliers, evaluate them, on-board new vendors, establish and run vendor governance; collaborate with management and follow-up on requisitions, purchase orders, invoices, and payments; work with project resources to provide design collateral and to configure software components so they are aligned with security policy and governance; and ensure adherence to development and configuration standards and processes. What you will bring A desire to drive your future and accelerate your career. You will bring experience and knowledge in:

• Working collaboratively with multiple vendors
• Leading complex projects - project management
• Stakeholder management and influencing skills
• Managing infrastructure services delivery, support and excellence
• Working in global IT function with regional or global responsibilities in an environment like Mondelēz International
• Working with IT outsourcing providers using frameworks such as the IT Infrastructure Library
• Working with internal and external teams and leading when necessary

More about this role

Mondelez Digital Services (MDS) is looking for Full Stack AI Engineers to join a growing engineering team building a new AI-powered insights platform. You will be part of a multi-disciplinary squad designing and delivering the intelligent systems that turn raw market data into decision-ready recommendations for stakeholders across global, regional, and local teams. The team needs engineers across several disciplines — full stack development, AI/ML engineering, and data engineering — and each successful candidate will specialise in one or more of these areas while contributing to the platform end-to-end.

Key Responsibilities

• Design, build, and maintain data pipelines that ingest, transform, and serve market and business data using Python, Databricks (Delta Lake, Spark), and AWS services.
• Develop and deploy AI/ML models and LLM-based workflows, including retrieval-augmented generation (RAG), prompt engineering, and agent orchestration using frameworks such as LangChain or LangGraph.
• Build and ship full stack applications (APIs, backend services, and front-end interfaces) that surface AI-generated insights to business users — using Python, React/Next.js, and cloud-native services.
• Implement monitoring, logging, and alerting for pipelines, models, and applications to ensure reliability, performance, and cost-efficiency in production.
• Collaborate with Product, Data Science, and Business stakeholders to translate requirements into technical designs, user stories, and working software.
• Contribute to platform architecture decisions, including infrastructure-as-code (Terraform), containerisation (Docker), and CI/CD practices.
• Write clean, tested, well-documented code and participate in code reviews, sprint ceremonies, and knowledge-sharing across the team.

We Are Looking For Candidates With

• Strong proficiency in Python and experience building production-grade applications or pipelines.
• Experience with one (or more) of the following disciplines: full stack development, AI/ML engineering, or data engineering — with a willingness to broaden across the others.
• Hands‑on experience with cloud platforms, particularly AWS, and familiarity with Databricks (Spark, Delta Lake, Unity Catalog).
• Exposure to LLMs and generative AI — model integration, prompt engineering, RAG pipelines, or agent‑based architectures.
• Familiarity with modern web frameworks (e.g. React, Next.js) and API design (REST, GraphQL).
• Understanding of data modelling, ETL/ELT processes, and working with structured and unstructured data at scale.
• Solid fundamentals in software engineering: version control (Git), testing, CI/CD, containerisation (Docker), and infrastructure-as-code (Terraform).
• Good communication skills, able to work in a cross‑functional team and explain technical trade‑offs to non‑technical stakeholders.
• Intellectual curiosity and a bias for learning, staying current with the fast‑moving AI/ML landscape.

Nice to Have

• Experience with agent orchestration frameworks (e.g. LangChain, LangGraph, AutoGen, CrewAI).
• Familiarity with the Databricks ecosystem (MLflow, Feature Store, Genie).
• Exposure to NLP or multimodal AI.
• Experience with monitoring/observability tools (e.g. Prometheus, Grafana, CloudWatch).
• Knowledge of security best practices in cloud and AI infrastructure.
• Prior experience in a CPG/FMCG environment or working with syndicated market data (Nielsen, Circana/IRI, Kantar).

Supporto alla Relocation disponibile?

Nessun supporto disponibile per la relocation

Riepilogo business unit

Alla Mondelēz International, la nostra missione è fornire ai consumatori lo snack giusto, al momento giusto, preparato nel modo giusto. Ciò significa offrire una vasta gamma di snack deliziosi e di alta qualità che nutrono i momenti della vita, realizzati con ingredienti e confezioni sostenibili per i quali i consumatori possono sentirsi bene.

Disponiamo di un’ampia gamma di forti marchi internazionali e locali, tra cui molti nomi rinomati come i biscotti Oreo, belVita e LU; il cioccolato Cadbury Dairy Milk, Milka e Toblerone; le caramelle Sour Patch Kids e la gomma da masticare Trident. Siamo orgogliosi di mantenere la prima posizione a livello globale nel business dei biscotti, cioccolato e caramelle e la seconda posizione per le gomme da masticare.

I nostri 80.000 produttori e fornai si trovano in oltre 80 paesi e vendiamo i nostri prodotti in oltre 150 paesi in tutto il mondo. Le nostre persone sono stimolate a crescere e sono fondamentali per vivere il nostro scopo e i nostri valori.

Siamo una comunità diversificata che può far accadere le cose e farle accadere velocemente. Mondelēz International è un datore di lavoro che offre pari opportunità e tutti i candidati qualificati verranno presi in considerazione ai fini dell’impiego a prescindere da razza, colore della pelle, religione, sesso, orientamento o preferenza sessuale, identità di genere, origine nazionale, stato di disabilità, stato di veterano protetto oppure qualsiasi altra caratteristica protetta dalla legge.

Tipo di lavoro

Contratto a tempo indeterminato Software & Applications Technology & Digital