Product Engineer (AI)

Location: Ghent, Belgium. Work arrangement: on-site / hybrid.

Company

hirify.global is an AI startup developing IoT-based models of ships to improve operational efficiency, reduce fuel costs, and cut emissions.

What you will do

• Own initiatives end to end, from customer conversations, research, and scoping through design, implementation, launch, and iteration.
• Shape product priorities by speaking directly with customers and identifying valuable improvements.
• Develop a deep understanding of ships, operational data, maintenance, fuel use, and customer decision-making.
• Build reliable software used for operational and commercial decisions.

Requirements

• Experience working comfortably across the stack; the current stack includes Python, Postgres, React, TensorFlow, Azure, Terraform, and Kubernetes, while equivalent stack experience can transfer.
• 3–5 years of shipping software that you owned and took responsibility for.
• AI-native approach, including agentic engineering, critical evaluation of generated or existing code, and willingness to challenge implementations before merging.
• Ability to recognize effective interfaces and care about product usability.
• Strong ownership, independent execution, structured thinking, and the ability to break down large, ambiguous projects.
• High quality standards, product judgment, pragmatism, fast learning, and motivation to deliver measurable impact.

Nice to have

• Experience with time-series or sensor data, DevOps, shipping, physics, or mechanical engineering.

Culture & Benefits

• Fast release cycle with multiple releases per day.
• Direct communication with colleagues, customers, and end users.
• Flat structure with strong cross-functional collaboration across research, business, and product users.
• Mission-driven work focused on reducing emissions at scale.
• Competitive salary, stock options, laptop and phone subscription, mobility budget, meal and eco-vouchers, and collective hospitalization insurance.

Hiring process

• Application, intro call, technical and product exercise, team chat, reference calls, and offer.
• The exercise involves scoping and building a real problem end to end using normal working tools; feedback is shared after each step.