Jinba

Jinba lets enterprise teams vibe-code AI workflows instead of drag and drop. Describe what you need in plain language, and your whole company can start using it immediately. No engineers required. Enterprise-grade permissions, audit logging, and on-prem deployment built in. We serve 40,000+ daily enterprise users at major financial institutions including Fortune Global 500 companies in banking, insurance, and manufacturing.

Jinba is a vibe-coding platform that compiles natural language into production-grade workflow code, deployed instantly as APIs, MCP servers, webhooks, or cron jobs. The core challenge is constrained code generation for the enterprise: translating ambiguous business intent into deterministic, auditable execution graphs that integrate with arbitrary enterprise systems (Salesforce, SAP, internal APIs), all while enforcing compliance constraints at the code generation level. Errors here have real financial consequences. On the infra side, we serve 40,000+ daily users at Fortune Global 500 companies, which means multi-tenant isolation with on-prem deployment, sub-second workflow execution, audit-grade observability, and hybrid AI model orchestration across AWS Bedrock, Azure AI, OpenAI, and self-hosted models. Our frontend is modern React with shadcn/ui, and we're one of the earliest platforms treating MCP as a first-class deployment target. If you want to work on problems at the intersection of AI, compilers, and enterprise infrastructure, we're hiring.