CONXAI offers a no‑code, agentic AI platform that empowers architecture, engineering, and construction (AEC) professionals and enterprises to transform fragmented data and siloed knowledge into actionable insights. By integrating computer vision, deep learning, machine reasoning, and edge computing, the platform enables users to design and deploy high‑impact, knowledge‑intensive AI use cases—such as jobsite analytics, cognitive document workflows, and knowledge‑engineering automation—without writing a single line of code. Its distinctive value lies in democratizing advanced AI for the AEC sector, combining explainable, agentic intelligence with a fully managed, no‑code workflow that accelerates digital transformation and reduces reliance on specialized data science teams.
Open Positions
Sr. Computer Vision Engineer (3D Semantic Scene Understanding)
MS / PhD in Computer Science, 3+ years of industry experience in Computer Vision and Deep Learning, 2+ years of leading 3D Computer Vision projects
Sr. Computer Vision Engineer (Scene Intelligence and Agentic AI)
M Tech / PhD, 5+ years of industry experience, exceptional implementation experience in PyTorch
Lead MLOps Engineer
5+ years MLOps/ML Engineering experience, NLP/Computer Vision experience, expertise in Terraform, Docker, and GitLab CI/CD pipelines
Construction Tech (Agentic AI) - Intern
Civil Engineering degree, data science foundation, familiarity with AEC knowledge, analytical mindset, excellent communication skills
Senior Frontend Engineer (React/TypeScript)
5+ years of frontend experience, advanced React & TypeScript expertise, and strong architectural thinking
Test Automation Engineer
3+ years of Test Automation experience, expertise in TypeScript/Cypress, and attention to detail
Senior Product Manager (Agentic AI)
5+ years in PM roles, data mastery, systems thinking, technical edge, founder mindset
AEC Domain Architect (Agentic AI)
Top-Tier Pedigree: MS or PhD in Civil Engineering or related field. Data Science Literacy: Strong background in data science and understanding of how ML models are trained and validated
Cloud & Infrastructure Engineer
4+ years of experience in DevOps or SRE roles with a focus on Kubernetes (k8s) and AWS, Mastery of Helm, Docker, and Terraform, Proven experience building complex, automated workflows in GitLab
Senior Backend Engineer (Golang)
5+ years of backend experience, strong Golang skills, and experience with AWS cloud infrastructure
+14 More Jobs Available!
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