About Token360
Token360 is an enterprise AI model access platform that provides a unified API layer across leading AI models, as well as AI applications.
The Role
This role spans AI application development, client services, and compliance management.
Responsibilities
- Support development of AI-related backend systems, APIs, and AI applications, and provide forward-deployed engineering (FDE) services to clients.
- Assist with AI model deployment, inference, agent, and AI tools development.
- Help build AI compliance architecture, including test controls for RBAC, API key lifecycle management, and user lifecycle workflows.
- Support request-governance features such as model allowlists, quota checks, provider restrictions, and sensitive-data checks.
- Work with engineering and business stakeholders to convert defined requirements into scoped implementation tasks.
Requirements
- Prior full-time work experience is not required.
- Strong coding fundamentals in at least one language such as Java, Python, Go, TypeScript, or similar.
- Knowledge and skills in machine learning, AI models, as well as AI application development.
- Understanding of APIs, authentication, authorization, databases, logging, and cloud service architecture.
- Ability to learn quickly and reason carefully about AI models, AI applications, and system boundaries.
- Clear written communication and disciplined documentation practices.
- Attention to detail and willingness to work across engineering, marketing, compliance, and business teams.
Nice to Have
- Coursework, internship, project, or research experience related to backend systems, AI model inference, AI application development, or developer tools.
- Interest in AI platforms, API gateways, model routing, or AI governance.
Token360 is an equal opportunity employer.
Esto abre su aplicación de correo electrónico. Por favor, redacte y envíe el mensaje usted mismo. talent@token360.ai