Sr. Computer Vision Engineer (Scene Intelligence and Agentic AI)
conxai Open · verified Oct 22, 2026 At a glance
Senior Machine Learning Engineering role at conxai. Gurgaon · full-time.
Pay not stated Machine Learning Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Design computer vision and multi-agent AI systems for visual scene understanding and reasoning
- Build multimodal knowledge graphs that give AI agents relevant, grounded context for their decisions
- Turn research models into production systems, balancing latency and cost with customer value
- Use production telemetry to lead feedback loops that improve model accuracy
What you bring
- A master's or doctoral degree in computer science or a related subject from a top-tier university
- At least five years in industry, including three years focused on computer vision and deep learning
- At least two years leading machine learning projects and one year managing ML engineers
- Hands-on agentic AI implementation using RAG and LangGraph or LlamaIndex
- Strong experience creating deep learning models in PyTorch
Who this fits
This senior role suits an engineer who can lead ML work while remaining hands-on with model design and implementation. You’ll work on production systems and own their performance and customer impact. The role is based in Gurgaon.
From the employer
About CONXAI
CONXAI has built an
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