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Toqua is seeking a hands-on AI Engineer in Ghent to build LLM-based agentic features that optimize shipping fuel and emissions. You’ll design, implement, and ship end-to-end components, collaborating with researchers and product teams to turn blue-sky ideas into real product features.
You’ll work with Python/FastAPI, React and Azure, integrating agents into customer workflows, setting up monitoring and guardrails, and continuously improving model usefulness and reliability.
Toqua turns raw vessel data into reliable performance numbers to increase earnings, reduce costs, and lower emissions in the maritime industry using AI and machine learning.
Hands-on AI Engineer role at Toqua building LLM-based agentic features to optimize shipping fuel and emissions. Join a mission-driven startup team in Ghent to create impactful machine learning solutions for sustainability.
Gent
Full-time
At Toqua, we’re building machine learning technology that helps shipping companies cut fuel consumption and emissions at scale, solving one of the world’s most urgent climate challenges. Our platform is used directly by customers, and can also be easily embedded in partner products. By 2029, we aim to power 10,000 vessels - the equivalent of removing every single car from the roads in Belgium. What you build will directly move that needle.
You’ll be joining a young, smart, and ambitious team that’s willing to go the extra mile. If you want impact, autonomy, and deep ownership, we'd love to talk!
We’re looking for a hands-on AI Engineer who lives and breathes LLMs and agents. Someone who can turn the latest AI capabilities into real product features that feel like “magic” to users. You don’t need to know our exact stack on day one, but you should be comfortable picking up new tools quickly and turning ideas into working systems.