Sr. Computer Vision Engineer (Scene Intelligence and Agentic AI)

About CONXAI

CONXAI has built a no-code, agentic AI platform for the Architecture, Engineering and Construction (AEC) and physical industries, focused on knowledge-automation. We automate high-stakes, knowledge-intensive workflows traditionally trapped in siloed data, fragmented tools and tacit (undocumented) human expertise.

Our multi-agent systems perform complex reasoning in the physical world; and transform bespoke, service-heavy processes into scalable Service-as-a-Software automation.

CONXAI is trusted by some of the leading AEC companies in Europe, US, LATAM and Japan.

Your Role

As a Sr. Computer Vision Engineer, you are the architect of the models that power the intelligence engine of our platform. You don’t just train neural networks; you design sophisticated architectures where 2D DNNs, 3D Vision algorithms and Agentic AI converge to solve complex, real-world problems. You will be responsible for the end-to-end development of State-of-the-Art (SoTA) architectures for AEC use-cases that deliver superior customer outcomes in high-stakes production environments.

What You’ll Do

• R&D: Research and design AI architectures that achieve SoTA performance on visual scene understanding and multi-agent reasoning
• Bridge Vision & Logic: Build and leverage multi-modal knowledge graphs to ground AI agents, ensuring their reasoning is domain-specific, use-case relevant, context-aware and reliable
• Optimize for Impact: Transform theoretical SoTA research into production-ready models that are optimized for latency, cost, and most importantly, value for customers
• Iterate for Excellence: Lead the research and implementation of feedback loops to continuously improve model accuracy based on real-world production telemetry
  
  

What We’re Looking For

• M Tech / PhD in Computer Science or related field from a Tier 1 university
• 5+ years of industry experience, incl. 3+ years in Computer Vision and Deep Learning
• 2+ years of leading Machine Learning (Deep Learning) projects
• 1+ years of leading a team of ML engineers
• Experience in Agentic AI implementations with RAG, Langgraph/LlamaIndex
• Experience in Natural Language Processing is a plus
• Exceptional implementation experience in developing new Deep Learning models in PyTorch
• Thorough understanding of software design
• Previous experience in a fast-paced technology startup environment is a plus
• Fluent and articulate in English
  
  

Why CONXAI

• Edge of Innovation: Be at the absolute forefront of AI in the construction tech space
• High Autonomy: Contribute to a new paradigm for multi-modal scene understanding and reasoning - owning the logic, performance, and customer impact
• Top-Tier Peer Group: Work with a global team of ML engineers, software engineers and industry practitioners
• Equity & Scale: Competitive compensation with significant equity upside