Role overview
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
Automate the lifecycle management of Agentic AI and Large Vision Model**
As the Lead MLOps Engineer, you are the bridge between experimental ML models and scalable, reliable enterprise software. You will be responsible for the "factory line" of our AI - from training automation to the deployment of agentic tools. You’ll ensure our multi-agent systems (LLMs + Computer Vision) remain performant, cost-effective, and accurate.
- Edge of Innovation: Architect the production backbone for real-time, low-latency agentic AI
- High Autonomy: Drive the end-to-end MLOps strategy, from automated retraining pipelines to sophisticated model monitoring at scale
- Top-Tier Peer Group: Partner with a global team of ML researchers and software engineers to bridge the gap between "experimental" and "mission-critical"
- Equity & Scale: Competitive compensation with significant equity upside