Description:

We are looking for a Full Stack Software Engineer with machine learning experience to help productionize our ML features.
You will work at the intersection of frontend, backend, and machine learning, transforming research prototypes into production-ready features.
The role involves building robust frontend interfaces using TypeScript/React for GenAI-powered features.
You will design and implement scalable backend services to support ML model deployment.
The position requires improving infrastructure for model serving, monitoring, and maintenance.
You will establish best practices for code quality, testing, and deployment.
The role bridges the gap between ML research and production engineering.

Requirements:

You must have 4+ years of full stack development experience.
Experience with TypeScript/React development is required.
You should have experience with Python backend development and API design.
Knowledge of MLOps practices, CI/CD, and cloud infrastructure (AWS/GCP) is necessary, including tools like Docker and Kubernetes.
An understanding of ML/GenAI systems and their production requirements is essential.
A track record of shipping production-quality code is required.
You should be able to establish best practices for code quality and testing in AI/ML systems.

This position offers the opportunity to shape the future of AI-powered tools in architecture and construction.
You will be part of a team that excels at rapid prototyping and innovation.
The role allows for remote work, providing flexibility in your work environment.
You will have the chance to work on cutting-edge technology and contribute to impactful projects.