About the Role
You will design, develop, and maintain full-stack applications that power cutting-edge AI solutions, working closely with research and product teams to deliver scalable and reliable software.
Responsibilities
- Develop and maintain frontend and backend components of web applications
- Collaborate with cross-functional teams to define and implement new features
- Optimize applications for performance, scalability, and reliability
- Write clean, testable, and well-documented code
- Participate in code reviews and contribute to technical discussions
- Troubleshoot and debug production issues
- Integrate machine learning models into production environments
- Design and manage database schemas and data flow
- Implement secure authentication and authorization mechanisms
- Work with containerized environments and cloud infrastructure
- Monitor system performance and implement improvements
- Support deployment pipelines and CI/CD workflows
- Ensure compliance with data privacy and security standards
- Contribute to architectural decisions and system design
- Stay current with emerging technologies and best practices
Nice to Have
- Experience with machine learning workflows
- Familiarity with data annotation or labeling tools
- Background in computer vision applications
- Contributions to open-source projects
- Experience in a startup environment
Benefits
- Flexible working hours
- Remote work options
- Professional development budget
- Health and wellness benefits
- Stock options
- Team retreats and events
- Modern tech stack
- Supportive and inclusive culture
- Opportunity to shape product direction
- Fast-paced learning environment
Compensation
Competitive salary and equity package
Work Arrangement
Hybrid or remote options available
Team
Collaborative team of engineers and researchers focused on AI innovation
Our Mission
We empower organizations to train better AI models with less data by making data-centric workflows efficient and scalable.
Tech Stack
- Frontend: React, TypeScript, GraphQL
- Backend: Node.js, Python, FastAPI
- Infrastructure: Docker, Kubernetes, AWS
- Data: PostgreSQL, MongoDB, Redis
Growth Opportunities
- Work on challenging problems in AI and data science
- Mentorship from experienced engineers and researchers
- Opportunities to lead technical initiatives
Available for qualified candidates
