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Open nowPosted 143 days ago

Agentic Engineer - Automation

Workable (global search)108,016 open roles

Where
Shenzhen, Guangdong Province, China
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Your applicationOpen nowAgentic Engineer - AutomationWorkable (global search) · Shenzhen, Guangdong Province, China
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Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

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  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 143 days ago

Workable (global search) median: 7 days open

The posting

About Wati

Started as a WhatsApp team inbox in 2020, Wati has evolved into an AI-powered customer engagement platform that goes beyond a single channel. Designed for businesses that sell, support, and grow through conversations, Wati observes customer intent in real time, decides the next best revenue action, and executes it across marketing, sales, and support — on WhatsApp, Instagram, Facebook, TikTok, SMS, and more.

Trusted by over 16,000 customers across 190+ countries, Wati simplifies complex operations and business conversations with a unified inbox, no-code automation, and our intelligent AI layer, Astra.

Proudly backed by Tiger Global, Sequoia Capital, DST Global, and Shopify, and recognised as a Premium Partner of Meta and Google.

Wati, the AI-Powered Customer Engagement Platform for Revenue Growth.

About the Role

We are looking for an Agentic Engineer – Automation Focus to join Wati’s Automation Squad and help build, scale, and support the backend systems that power automation experiences for businesses worldwide.

In this role, you will develop backend services, APIs, workflow logic, and supporting systems that enable customers to automate messaging journeys, trigger business actions, and orchestrate conversational experiences at scale. You will work in an engineering environment that actively uses AI agents and Cursor in day-to-day development, and you are expected to use these tools effectively to ship faster while maintaining high quality.

This role is a strong fit for an engineer who enjoys backend problem-solving, building reliable distributed systems, and working with agent-assisted development practices. You should be comfortable owning features end to end, contributing to production support when needed, and collaborating closely with product and cross-functional engineering teams.

What You Will Do

  • Design, build, and maintain backend services and APIs for Wati’s Automation domain.
  • Implement scalable workflow and automation capabilities, including triggers, actions, execution flows, and supporting orchestration logic.
  • Develop production-ready systems using C#, Go, Node.js, and MongoDB where appropriate across the stack.
  • Work with frontend engineers on workflow and builder experiences involving React Flow integrations and backend coordination.
  • Use Cursor and agent-assisted workflows to accelerate coding, debugging, refactoring, documentation, and delivery.
  • Write maintainable, testable, and observable code with attention to correctness, performance, and reliability.
  • Investigate production issues, participate in incident handling, and contribute to sustainable fixes and operational improvements.
  • Collaborate with product managers, designers, and engineers to translate requirements into practical technical designs.
  • Contribute to better engineering practices around code quality, release confidence, and service ownership.
  • Ensure reliability, performance, and scalability of the infrastructure serving customers across 190+ countries

Requirements

  • 3+ years of software engineering experience, with strong backend development skills (Go or Python preferred)
  • Hands-on experience with one or more backend languages such as C#, GoLang.
  • Experience building APIs, backend services, and data-driven application logic in production environments.
  • Good working knowledge of MongoDB/ NoSQL and service-side data modeling.
  • Understanding of distributed systems fundamentals, including reliability, scalability, failure handling, and observability.
  • Familiarity with modern engineering workflows using AI coding tools such as Cursor and agent-assisted development practices.
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