AI Engineer

We're on the lookout for a talented AI Engineer who's got a solid grasp of data engineering and can communicate like a pro!

We're on the lookout for a talented AI Engineer who's got a solid grasp of data engineering and can communicate like a pro! Experience in commodity or financial trading would be a huge plus. You'll be working hand-in-hand with traders and analysts, using your skills to quickly develop AI-powered analytics based on market pricing and fundamental data. We leverage Databricks and Spark to get things done fast and deliver real value! Here's a glimpse of what you'll be doing: • Designing and delivering AI-driven analytics for front-office use, covering areas like seasonality, correlation, regression, forecasting, and scenario modeling. • Building data pipelines in Databricks (PySpark/Spark, Delta/Unity Catalog) that are not only reusable and scalable but also optimized for cost, reliability, and performance. • Performing in-depth statistical and econometric analyses on large datasets, particularly market and fundamental time series data. • Collaborating closely with traders and analysts – you'll be translating those sometimes-vague questions into practical, shippable solutions and clearly communicating your findings. • Implementing cutting-edge LLM/agentic workflows, including prompt engineering, LangGraph orchestration, MCP integrations, tool calling, retrieval, and setting up guardrails. • Bringing solutions to production with thorough testing, observability, versioning, and excellent documentation. Contract Details: • Duration: May 5, 2026 - December 31, 2026, with potential for extension. • Location: The Hague. • Contract Type: Freelance (ZZP) is not permitted. • Application Deadline: April 7, 2026, 07:00.

Here's what you'll bring to the table: • You've got solid, hands-on experience with Databricks and Spark, including PySpark, SQL, Delta, and Unity Catalog. • You're a pro at data engineering – think ingestion, modeling, orchestration, and making things run super fast! • Your grasp of statistics, economics, and data science fundamentals is strong, especially for market time-series. • You have a knack for building LLM solutions (prompting, retrieval, agent flows using LangGraph, MCP) and integrating them with trading data and services. • You're comfortable with CI/CD, Terraform, MLflow/feature stores, vector DBs, and governance practices like PII handling and data lineage. • You're excellent at working with stakeholders, collaborating closely with traders and analysts, and delivering results quickly. It would be awesome if you also have: • A background in commodity or financial trading. • Familiarity with market microstructure, supply-demand fundamentals, and risk management. Here's how we work: • We're hybrid, with a focus on high-touch collaboration with our trading teams. • We love to prototype fast, get feedback from users, and then make those prototypes production-ready. • We're all about keeping our production pipelines stable and running smoothly. This means using secure, modern CI/CD engineering practices, complete with automated testing, quality gates, and built-in reliability across development, security, and operations.