Teams at CONXAI

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.

Design and build scalable, high-performance backend services in Go that process large-scale structured and unstructured data, orchestrate AI workflows, expose reliable APIs, ensure reliability and observability, optimize performance, deploy on AWS with Docker/Kubernetes, and collaborate with frontend, ML, and platform teams while mentoring juniors.