Sr. Computer Vision Engineer (Scene Intelligence and Agentic AI)
TLDR
Architect end-to-end SOTA models uniting 2D/3D vision and Agentic AI for AEC use-cases, delivering production-ready, low-latency solutions.
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
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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
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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
Benefits
Equity Compensation
Competitive compensation with significant equity upside
Conxai Technologies has developed a no-code AI platform that automates complex workflows in the Architecture, Engineering, and Construction (AEC) sectors. By breaking down silos of fragmented data and untapped human knowledge, we empower businesses to shift from service-heavy processes to scalable, automated solutions, enabling a smarter and more efficient approach to project management.