AI Engineer

pToqua 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. /p pHands-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. /p h3Job Description /h3 pGent /p pFull-time /p h3Why this role matters /h3 pAt 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. /p pYou’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 /p h3What you’ll do /h3 pWe’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. /p ullibDesign, build, and ship agentic features /b end-to-end across Python/FastAPI, React and Azure. /li libIntegrate the agent into real customer workflows /b and continuously improve its accuracy and usefulness. /li libSetup evaluation, monitoring, and guardrails /b for the agent, and rapidly bring relevant new LLM models, tools, and frameworks into production. /li libShape the product. /b Collaborate with the team to understand real customer pain points and help design solutions, agentic or not, that make sense**. /li /ul h3Your experience /h3 ullibHave hands-on LLM experience. /b You've built features with LLMs and agents before. You understand prompting, RAG, tool calling and agentic patterns. You can reason about the involved trade-offs. /li libYou are a solid software engineer. /b You’re proficient with Python and git. You have some knowledge of building and operating web services in the cloud. You write clean, maintainable and testable code. /li libNice to have: /b Experience with OpenAI's APIs, retrieval and evaluation tooling. Maritime affinity is very welcome. /li /ul h3What makes you a great fit /h3 ullibYou take initiative and ownership. /b You move projects forward without constant direction and care deeply about the quality and impact of what you build. /li libYou’re driven by impact. /b Our mission is to cut emissions at scale. You want to apply your skills to tackle one of the world’s biggest climate challenges. /li libYou learn quickly. /b You enjoy picking up new technologies, adapting to new contexts, and solving unfamiliar problems. /li libYou think critically. /b You question assumptions, challenge the status quo, and propose better ways of doing things. /li libYou’re a team player. /b You’re humble, collaborative, and put the team first. /li libYou’re curious about the maritime world. /b Whether it’s ships, oceans, or global trade, you like the idea of working in a domain with massive sustainability impact. /li libYou’re great at ping-pong. /b We’re a startup, of course there’s ping-pong ;) /li /ul h3How we work /h3 ullibDirect communication. /b You’ll talk directly with the people you work with – no layers in between. /li libFlat structure. /b Your ideas matter as much as anyone else’s. /li libCross-functional collaboration. /b You’ll work closely with researchers, business minds, and end users in a fast-moving team. /li libMission-driven. /b Cutting emissions is what guides our priorities. /li libFast iterations. /b We move quickly, test ideas often, and learn from real feedback to keep improving. /li /ul