Are You Ready to Make It Happen at Mondelēz International?

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. 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.

Leading complex projects - project management Working in global IT function with regional or general responsibilities in an environment like Mondelēz International Working with IT outsourcing providers using frameworks such as the IT Infrastructure Library 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.

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. 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 other s. 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).

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). Contratto a tempo indeterminato Software & Applications Technology & Digital #

📌 Ai Engineer / Full Stack Developer - Ai Reporting & Insights (Barcelona)
🏢 Mondel?Z International
📍 Barcelona