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Jinba.io

Enterprise AI workflow automation platform

Founding Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA$140k - $250k /yr

About the Job

Requirements

  • At least 5 years of experience building products quickly.
  • Experience with TypeScript for backend and frontend development and React.
  • Deep understanding of system design, database architecture, and scaling distributed systems.
  • Experience with modern deployment and infrastructure tools, including Vercel and Cloudflare Workers; infrastructure as code with Terraform; and CI/CD pipelines with GitHub Actions.
  • Experience with AI frameworks such as Vercel AI SDK and Mastra, and patterns such as agentic loops, tool calling, streaming, and MCP.
  • Be ready to work in person in San Francisco.

Responsibilities

  • Architect and build frontend and backend systems powering the vibe coding platform.
  • Define technical strategy, including system design, data modeling, service boundaries, and infrastructure choices.
  • Integrate AI models and build reliable natural-language-to-action pipelines.
  • Collaborate directly with customers to translate enterprise needs into product solutions.
  • Evolve infrastructure for reliability, observability, and performance at enterprise scale.
  • Ship quickly while building sustainable, maintainable systems.

Desired Qualifications

  • Understanding of tools like OpenCode and how they work.
  • Experience shipping AI/LLM products to production.
  • Experience with LLM observability and production debugging using tools such as Langfuse and Datadog.
  • Experience at early-stage startups.
  • Major contributions to open-source software projects.

About the Company

Jinba.io

Enterprise AI workflow automation platform

Jinba.io builds AI workflow automation for enterprises. Its platform lets business teams describe needs in natural language to auto-create executable workflows with Jinba Flow, then run them safely in Jinba App through a chat interface or auto-generated forms; Jinba Toolbox offers reusable AI tools in Python and TypeScript. It integrates with Salesforce, Slack, databases, and private AI models via AWS Bedrock and Azure AI, and supports on-premise or private cloud deployment with SOC 2, RBAC, end-to-end encryption, and audit logs. The goal is to help large organizations automate complex processes at scale while preserving governance, security, and seamless integration with existing tools.

Company size
11-50
Company stage
Seed
Total funding
$130K
Headquarters
San Francisco, CA
Founded
2025

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