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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer / Full Stack Developer - AI Reporting & Insights - **Company:** Mondelez International - **Location:** Madrid, Spain - **Contract:** Permanent contract - **Skills:** Unity 3d, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing, Code Review, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Python (Programming Language), Machine Learning, Prometheus, Next.js, Software Engineering, Systems Integration, Unstructured Data, Web Application Frameworks, AI Infrastructure, Data Logging, Information Technology Outsourcing, ReactJS, Large Language Models, Grafana, Multi-Agent Systems, Prompt Engineering, Apache Spark, Generative AI, Backend, Git, Containerization, Data Lakes, Graphql, Machine Learning Operations, Front End Software Development, Api Design, Cloudwatch, Terraform, Software Version Control, Serverless Computing, Docker, Databricks - **Published:** September 15, 2026 - **Apply:** https://dejobs.org/x/x/463AB4F903D543A19740690C23A7402C/job/ ## About the Role 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, * 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). * 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). ## 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., * 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. ## Related Videos - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Inside Mercedes-Benz: 140 Years of Heritage meet AI](https://www.wearedevelopers.com/videos/100054-inside-mercedes-benz-140-years-of-heritage-meet-ai) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)