Software Engineer, Workflows

Vercel Vercel · Enterprise · United States · Remote · Engineering

Software Engineer role focused on building and enhancing Vercel's Workflow Development Kit (WDK) and platform, with a strong emphasis on AI enablement for AI agents, long-running processes, and intelligent workflows. This involves integrating AI capabilities for sequential/parallel execution and evaluator-optimizer loops, ensuring durability and observability for AI-native applications.

What you'd actually do

  1. Contribute to the design, implementation, and maintenance of the Workflow Development Kit and Vercel Workflow platform, with emphasis on AI integrations for reliable agentic workflows, durability, and observability.
  2. Write clean, efficient, and well-documented code. Conduct comprehensive testing to ensure the reliability and stability of workflows, including handling pauses, resumptions, and state management for AI agents.
  3. Collaborate with cross-functional teams, including product managers, designers, and infrastructure experts, to address challenges and deliver exceptional results in AI-enabled development workflows.
  4. Engage with the open-source community, participate in discussions, and contribute to related projects, aligning with Vercel's commitment to giving back to the developer community.
  5. Actively gather feedback from developers and users, and use it to drive continuous improvement and innovation in AI enablement features within the Workflows platform.

Skills

Required

  • 5+ years of relevant experience
  • JavaScript/TypeScript
  • modern frontend development tools
  • AI/ML frameworks
  • workflow automation
  • building durable systems (e.g., agents, queues, state machines)
  • contributing to or participating in open source projects
  • Excellent communication skills
  • collaborative team environment

What the JD emphasized

  • AI enablement
  • AI agents
  • agentic workflows
  • durability
  • observable
  • fault-tolerant
  • state management for AI agents

Other signals

  • AI enablement
  • AI agents
  • agentic workflows
  • durability
  • observability