Responsibilities
- Work with the team to transform ML prototypes into production-ready features within our core product
- Build robust frontend interfaces using TypeScript/React for GenAI-powered features
- Design and implement scalable backend services to support ML model deployment
- Improve infrastructure for model serving, monitoring, and maintenance
- Establish best practices for code quality, testing, and deployment
- Bridge the gap between ML research and production engineering
Required Skills and Experiences
- 6+ years of full stack development experience
- Experience with TypeScript/React development
- Experience with Python backend development and API design
- Understanding of ML/GenAI systems and their production requirements
- Track record of shipping production-quality code
- Establish best practices for code quality and testing in AI/ML systems
Bonus Qualifications
- Language models - prompt engineering / LLM fine-tuning / RAG systems
- Rust / C++/ C#
- ML deployment pipelines and MLOps ( MLOps practices, CI/CD, and cloud infrastructure, e.g. AWS/GCP))
- Development of real-time collaborative systems
- 3D graphics, geometry, mathematics, AEC industry tools (CAD, BIM)
- Background in scalable web services