AI Engineer / Full Stack Developer – AI Reporting & Insights
Mondelez International5 days ago
Warsaw, Poland or Barcelona, SpainMid Level
Responsibilities
- Design, build, and maintain market and business data pipelines using Python, Databricks, Delta Lake, Spark, and AWS services.
- Develop and deploy AI/ML models and LLM-based workflows using retrieval-augmented generation, prompt engineering, and agent orchestration.
- Build and ship full-stack applications, APIs, backend services, and front-end interfaces for delivering AI-generated insights.
- Implement monitoring, logging, and alerting for production pipelines, models, and applications.
- Collaborate with Product, Data Science, and business stakeholders to translate requirements into technical designs, user stories, and working software.
- Contribute to platform architecture, infrastructure-as-code, containerization, and delivery practices.
- Write tested and documented code, participate in code reviews and sprint ceremonies, and share knowledge across the team.
- Support service optimization, vendor governance, software configuration, development standards, and security-policy adherence.
Requirements
- Strong proficiency in Python and experience building production-grade applications or data pipelines.
- Experience in one or more of full-stack development, AI/ML engineering, or data engineering, with willingness to broaden across disciplines.
- Hands-on experience with cloud platforms, particularly AWS, and familiarity with Databricks, Spark, Delta Lake, and Unity Catalog.
- Exposure to LLM integration, generative AI, prompt engineering, RAG pipelines, or agent-based architectures.
- Familiarity with React, Next.js, REST, GraphQL, and API design.
- Understanding of data modeling, ETL/ELT processes, and structured and unstructured data at scale.
- Software engineering fundamentals including Git, testing, containerization with Docker, and infrastructure-as-code with Terraform.
- Ability to communicate effectively, collaborate cross-functionally, and explain technical trade-offs to nontechnical stakeholders.
- Preferred experience with LangChain, LangGraph, AutoGen, CrewAI, MLflow, Feature Store, Genie, Prometheus, Grafana, CloudWatch, NLP, multimodal AI, cloud and AI security, CPG/FMCG, Nielsen, Circana/IRI, or Kantar.
Benefits
- Regular full-time position in the Software & Applications Technology & Digital function.
- No relocation support available.
Tech Stack
Categories
About Mondelez International
Mondelez International (NASDAQ: MDLZ) manufactures and markets snack foods—including Oreo and belVita biscuits; Cadbury, Milka and Toblerone chocolates; Trident gum; and Sour Patch Kids candy—to consumers worldwide through retail and e‑commerce channels. Formed in 2012 via the spin-off of Kraft Foods’ global snacks business, it is headquartered in the Chicago area. The company operates in more than 150 countries with a portfolio spanning biscuits, chocolate, gum, and candy.