Sr. Engineer, Backend - Enterprise

Zapier Zapier · Enterprise · India · Engineering

Senior Backend Engineer role focused on building and maintaining enterprise integrations using AI agentic coding workflows. The role involves designing and operating agent 'harnesses' with prompts, tools, and guardrails, and collaborating with cross-functional teams to ensure integrations solve customer problems. Emphasis on responsible and transparent AI use, with agents treated as first-class contributors.

What you'd actually do

  1. Build, evolve, and maintain enterprise-grade integrations for our highest-priority customers across REST, OAuth, and webhook-based APIs, owning the full lifecycle from design through deprecation and treating agents as first-class contributors in that lifecycle.
  2. Lead important projects from start to finish using agentic coding workflows: framing problems into agent-friendly tasks, configuring tools and context, and pairing with AI systems to generate, refactor, and migrate code while you remain accountable for correctness, safety, and long-term maintainability.
  3. Design and operate agent “harnesses” — prompts, tools, test suites, sandboxes, and guardrails — so agents can safely modify integrations at scale (for example, dependency upgrades, refactors, or bulk bug fixes) without breaking customer workflows.
  4. Work directly with cross-functional stakeholders (Support, Success, Sales, Product, Security, Compliance) to ensure both our integrations and our agents are solving the right problems for enterprise customers, translating their needs into clear technical work for humans and agents.
  5. Support teammates across experience levels via pair-programming, code and prompt reviews, and mentoring on both backend fundamentals and agentic development best practices.

Skills

Required

  • Backend engineering
  • API integrations (REST, OAuth, webhooks)
  • Agentic coding workflows
  • Prompt engineering
  • Code review
  • Mentoring

Nice to have

  • Multi-agent patterns
  • Scaling AI impact

What the JD emphasized

  • You work through AI agents, not alongside them.
  • agentic coding workflows
  • agent harnesses
  • guardrails
  • code and prompt reviews

Other signals

  • AI agents are core to the development workflow
  • Building agent harnesses with prompts, tools, and guardrails
  • Focus on enterprise integrations and customer needs