Junior AI Engineer

Company Overview

Jetbro is a premium technology consulting, systems integration, and digital transformation firm that partners with organizations where tech is central to business operations. We specialise in infrastructural and mission-critical digital transformation — the kind that enables scale, eliminates bottlenecks, and creates lasting change in how businesses operate.

We work with traditional businesses, government institutions, and high-growth companies across domains like manufacturing, logistics, utilities, education, finance, and professional services. Our focus areas include custom product development, system modernization, AI/ML integration into workflows, and building/managing tech teams from scratch. At Jetbro, we don't chase flashy trends — we solve hard, unglamorous problems with precision and reliability. Our philosophy is simple: We love boring, because it works. We are a lean, co-founders led team that thrives on ownership, trust, and getting things done. Sales at Jetbro isn't about pushing projects — it's about identifying where a strong tech intervention can change the trajectory of an organization, and making that happen.

About the Role
We are looking for a Junior AI Engineer to join our team and help us integrate artificial intelligence into the future of architectural and engineering workflows. This role is ideal for someone passionate about computer vision, generative AI, and data-driven automation in the built environment. You will work closely with senior engineers and architects to research, experiment, and build AI-powered solutions that enhance 3D visualization, design support, and property marketing.

Roles and Responsibilities

• Assist in developing, training, and testing AI/ML models for architecture-focused use cases such as image-to-3D conversion, object recognition in CAD/BIM models, render optimization, and generative design outputs.
  
• Support data preparation by cleaning, preprocessing, and organizing large datasets of architectural drawings, 3D models, and renders for training AI models.
  
• Contribute to building and maintaining AI/ML pipelines for tasks like rendering automation, design validation, and generative visualization workflows.
  
• Collaborate with architects, visualization specialists, and engineers to understand project requirements and translate them into AI-driven solutions.
  
• Document models, experiments, and processes for internal knowledge sharing and iteration.
  
• Stay updated on emerging AI techniques in computer vision, generative AI, and 3D modeling and proactively explore how they can be applied to architectural visualization and marketing.
  

Requirements Mandatory Skills

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  
• 0–2 years of experience in AI/ML (academic projects or internships acceptable).
  
• Proficiency in Python and familiarity with frameworks like TensorFlow or PyTorch.
  
• Understanding of machine learning concepts (supervised, unsupervised, deep learning).
  
• Knowledge of computer vision principles (image classification, segmentation, object detection).
  
• Familiarity with version control systems (Git).
  
• Strong problem-solving ability and willingness to learn quickly.
  
• Good communication and teamwork skills.
  

Good to Have

• Exposure to 3D graphics, rendering engines, or CAD/BIM data.
  
• Familiarity with generative AI models (diffusion models, GANs, LLMs for design automation).
  
• Basic understanding of geometry processing or 3D data handling.
  
• Experience with cloud-based ML platforms (AWS, GCP, Azure).
  
• Prior work (academic or professional) on architecture/engineering datasets.
  

Benefits

• Competitive salary package aligned with industry standards and your experience level.
• Opportunities to work on cutting-edge AI applications in the fields of architecture, engineering, and 3D visualisation.
  
• Collaborative and innovative work environment that values creativity, problem-solving, and continuous learning.
  
• Professional growth through mentorship, training, and exposure to advanced AI/ML technologies.
  
• Flexible and supportive culture that encourages work-life balance.
  
• Chance to contribute directly to projects that shape how designs are visualised and marketed globally.
  

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