Teams at CONXAI

Work at the intersection of engineering and customers to deploy AI use cases in construction environments. Design AI workflows for CAD drawings, specifications, contracts, and schedules; integrate and configure the platform; write code and prototype bespoke solutions; translate customer issues into technical requirements; and validate AI outputs against construction standards.

Lead frontend architecture and implement scalable B2B features using React and TypeScript. Design domain boundaries, build reusable components, ensure type-safe code, tests, performance optimization, and collaborate with backend and cross-functional teams to integrate APIs and AI features.

Lead MLOps Engineer responsible for building and automating the lifecycle of multimodal agentic AI: orchestration (LangChain/LangGraph), training pipelines for LLMs and CV, containerized model deployment, low-latency inference, model monitoring/drift detection, and optimizing ML infrastructure for performance and cost.