AEC AI Engineer

Role Overview

As an AEC AI Engineer, you will design and build AI-powered systems that directly support real-world AEC workflows. This role focuses on applying modern machine learning techniques, particularly LLMs and agent-based systems, to production environments.

What You Will Do

Design, train, and fine-tune AI models, including LLM-based systems, for real-world applications; Optimize AI models and pipelines for performance, scalability, and cost efficiency; Collaborate with engineering teams to integrate AI systems into production environments.

Why It Might Be a Fit

Must-Have Qualifications: Experience in the AEC industry (Architecture, Engineering, Construction) or related domains; Hands-on experience with LLMs and/or agent-based systems; Experience developing and deploying AI models into production systems; Solid foundation in mathematics, statistics, and computer science; Proficiency in Python and modern ML/AI frameworks; Experience optimizing models for inference speed, reliability, and cost; Strong problem-solving skills and attention to detail.

Requirements

• Experience in the AEC industry (Architecture, Engineering, Construction) or related domains
• Hands-on experience with LLMs and/or agent-based systems
• Experience developing and deploying AI models into production systems
• Solid foundation in mathematics, statistics, and computer science
• Proficiency in Python and modern ML/AI frameworks
• Experience optimizing models for inference speed, reliability, and cost
• Strong problem-solving skills and attention to detail

Benefits

• Competitive salary
• Benefits
• Opportunity to work on production-grade AI systems at scale
• Exposure to cutting-edge AI research with real-world impact
• Collaborative, highly technical work environment
• Strong focus on learning, growth, and innovation