Agentic Engineer II - AI Agents (Customer Agents)

Wati
Shenzhen
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 4-7 yearsSkills: ["Ownership","Debugging","Communication","Engineering judgment","Collaboration"]

Build and operate customer-facing AI agent capabilities, from conversation flows and knowledge retrieval to tool calling, human handoff, and messaging-channel integrations. Develop reliable LLM application services including prompts, context management, RAG, guardrails, fallback behavior, and structured tool execution. Own evaluation and observability workflows that measure quality, success, latency, and cost, while partnering across product and platform to ship dependable, scalable agent experiences.

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FursaFursa
Wati
Wati
4 days ago

Agentic Engineer II - AI Agents (Customer Agents)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Build and operate customer-facing AI agent capabilities, from conversation flows and knowledge retrieval to tool calling, human handoff, and messaging-channel integrations. Develop reliable LLM application services including prompts, context management, RAG, guardrails, fallback behavior, and structured tool execution. Own evaluation and observability workflows that measure quality, success, latency, and cost, while partnering across product and platform to ship dependable, scalable agent experiences.
Location: Shenzhen
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build and operate customer-agent capabilities including conversation flows, knowledge retrieval, tool calling, human handoff, and messaging-channel integrations.
  • •Develop reliable LLM application services covering prompts, context management, RAG, guardrails, fallback behavior, and structured tool execution.
  • •Create evaluation and observability workflows to measure answer quality, task success, latency, cost, and common failure modes.
  • •Partner with product, design, and customer-facing teams to turn customer problems into shipped agent experiences.
  • •Improve the shared agent platform through reusable primitives, APIs, testing, deployment, monitoring, and developer experience.

Key Requirements

  • •4-7 years of software engineering experience with strong backend or full-stack foundations.
  • •Experience shipping production systems with Python, TypeScript, or similar languages.
  • •Practical experience building LLM-powered applications such as RAG, tool calling, agents, evaluation systems, or AI workflow automation.
  • •Strong ownership and debugging skills with comfort working across product and infrastructure boundaries.
  • •Sound engineering judgment focused on reliability, privacy, latency, and cost in customer-facing systems.
Experience:4-7 years
Skills:OwnershipDebuggingCommunicationEngineering judgmentCollaboration
Tech Stack:PythonTypeScriptLLMRAGTool callingAgentsPromptsContext managementGuardrailsFallback behaviorStructured tool executionEvaluation systemsObservabilityMonitoringDeploymentAPIsTestingLatencyCostHuman handoff

Company Brief

Wati
Provides a WhatsApp-based customer engagement platform that helps businesses manage sales, support, and marketing conversations in one shared inbox. The product includes automation, broadcasts, chatbots, and team collaboration tools for messaging-led workflows.
Industry: SaaS
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Headquarters: Hong Kong, Hong Kong
Founded: 2018
WebsiteLinkedIn