Agentic Engineer II - Enterprise

Wati Dot I O; Hong Kong; On-site; HKD 600,000 - 1,000,000; Full time

Job summary

WATI in Hong Kong is seeking a Senior Backend Engineer to join the Enterprise team. You will own core backend features end-to-end, from design to production monitoring, focusing on multi-tenant messaging platforms, analytics, and automation.

You will work with AI coding agents as a force multiplier, collaborating with PM, CS, and international teams in English to deliver scalable backend solutions.

Job description

About Wati

Started as a WhatsApp team inbox in 2020, Wati has evolved into a full revenue orchestration system that goes beyond a single platform. We empower businesses that sell, support, and grow through conversations by observing customer intent in real-time, deciding the next best revenue action, and executing it seamlessly across marketing, sales, and support—all within WhatsApp and connected messaging channels.

Our Platform & AI Capabilities

Wati is designed for scalability and intelligence. Our AI-native platform simplifies complex customer communication operations through a unified inbox, a robust multi-channel messaging infrastructure, and no-code automation. At the heart of our solution is Astra, our intelligent AI layer, which helps you create AI Agents for all customer interactions and all your messaging platforms. By integrating AI agents into the ecosystem, we enable businesses of all sizes to deliver measurable ROI and build deeper customer relationships.

Our Backing & Partnerships

Trusted by over 16,000 customers across 190+ countries, Wati is proudly backed by world-class investors including Tiger Global, Sequoia Capital, DST Global, and Shopify. As a Premium-tier Partner of Meta and Google, we maintain the highest standards of platform excellence and integration.

About the Role

We are looking for a Senior Backend Engineer to join the Enterprise team at WATI — one of the largest WhatsApp Business API SaaS platforms globally, serving tens of thousands of businesses.

You will own core backend features end-to-end: from requirement analysis and technical design, through implementation, to production monitoring. The work spans analytics APIs, messaging infrastructure, multi-tenant data pipelines, and AI-powered automation tooling.

This role requires someone who is highly proficient in using AI coding agents (e.g., Cursor, Copilot, Claude, custom agents) as a force-multiplier in daily engineering work — not as a novelty, but as a core part of your workflow.

What You'll Do

• Design and implement backend features for a multi-tenant SaaS platform (WhatsApp Business messaging, broadcast, automation, analytics)
• Own technical designs and drive cross-repo coordination (backend / frontend / messaging services / billing)
• Debug complex production issues across distributed systems (async job chains, webhook pipelines, multi-tenant data flows)
• Build and use AI agents to accelerate engineering workflows — requirement analysis, code generation, code review, testing
• Collaborate directly with PM, CS, and international engineering teams in English

Requirements

What We're Looking For

• 5+ years of software engineering experience, with strong backend development skills (language agnostic — .NET, Java, Go, Python, Node.js all acceptable)
• Experience designing APIs, data models, and async workflows for multi-tenant SaaS systems
• Proven ability to debug and resolve complex issues across multiple services, queues, and databases in production
• Actively uses AI coding agents (Cursor, Copilot, Claude, or similar) as a core part of daily development workflow
• Experience with AI agent architectures, tool calling, MCP, or LLM-based workflow orchestration is a strong plus
• Experience with .NET / C#, MongoDB, or Google Cloud (Pub/Sub, BigQuery, AlloyDB) is a strong plus
• Domain experience in messaging, IM, customer support platforms, or WhatsApp Business API is a strong plus
• Professional working proficiency in English — able to read/write technical documents and collaborate with international teams
• Strong problem-solving ability and comfort working in a fast-paced, globally distributed environment