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# AI Engineer

- **Company:** International Flavors & Fragrances
- **Location:** Benicarló, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Application Programming Interfaces (APIs), Artificial Intelligence, Bioinformatics, Cloud Computing, Continuous Delivery, Continuous Integration, Data Cleansing, Graph Database, Python (Programming Language), Machine Learning, Recommender Systems, Software Engineering, Unstructured Data, Working Model 2D, Retrieval-Augmented Generation, Prompt Engineering, Deep Learning, Information Technology, Machine Learning Operations, Virtual Agents, Software Version Control
- **Published:** September 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=15f84eee2aef5ab2

## About the Role

* Master's, or PhD degree in Chemical Engineering, Biochemical Engineering, Bioinformatics, Process Control, Computer Science, Data Science or Applied Mathematics.

 * Demonstrated industrial experience with a proven track record of delivering measurable business impact and driving outcomes in production or operational environments

 * Proven, hands-on experience with Python and modern machine learning workflows, including data preparation, modeling, validation, deployment, and monitoring.

 * Experience developing end-to-end AI or machine learning applications, not only exploratory notebooks, with an ability to move from prototype to reliable solution including demonstrated experience deploying solutions in real industrial or production environments .

 * *Practical understanding of frontier model capabilities and limitations, including prompt design, agentic AI, retrieval-augmented generation, evaluation, hallucination reduction, and human-in-the-loop workflows.

 * Experience working with structured and unstructured data, such as time-series data, scientific data, engineering data, documents, knowledge bases, or complex operational datasets.

 * Knowledge of methods such as mathematical optimization, process control, forecasting, anomaly detection, recommendation systems, natural language interfaces, classification, deep learning, or predictive analytics.

 * Familiarity with software engineering practices such as version control, testing, application programming interfaces, containers, continuous integration and continuous delivery, and maintainable code design.

 * Ability to communicate clearly with both technical and non-technical audiences, including explaining model outputs, uncertainty, assumptions, control logic, optimization trade-offs, and practical implications.

 * A practical, delivery-oriented mindset with curiosity for industrial, scientific, optimization, and process control problems and a strong focus on usefulness, trust, and adoption.

How Would You Stand Out?

 * Experience with knowledge graphs, ontologies, semantic modeling, graph databases, or retrieval-augmented generation for scientific, industrial, or operational use cases.

 * Experience in manufacturing, process development, industrial operations, supply chain, biomanufacturing , bioinformatics, chemical processes, advanced process control, or mathematical optimization in technical environments.

 * Experience with model registries, experiment tracking, observability, prompt and version management, evaluation frameworks, cloud platforms, or production machine learning systems.