AI Agent Engineer: Build Production-Ready Agents

XtendOps, Inc.; Cebu City; On-site; PHP 900,000 - 1,300,000; Full time

Job summary

XtendOps is hiring a backend engineer to own AI agent workflows end to end. You will design, build, and wire integrations for agents that operate across live customer traffic, focusing on production-grade backend systems.

You'll work with TypeScript/Node.js, implement tool calls and MCP-like patterns, and deploy via Docker on cloud platforms. Strong English communication and fast iteration are essential.

Qualifications

• 3+ years building production backend software with TypeScript and Node.js.
• Hands-on experience building LLM agents that call tools.
• Practical experience with MCP or equivalent tool-integration patterns.
• Solid REST API integration experience against third-party systems.
• Comfortable with Docker and at least one cloud platform (AWS, GCP or Azure).
• Git, testing and code review as normal working habits.
• Clear written communication in English.

Responsibilities

• Build and ship AI agents end to end, from design through production.
• Design and implement the tools and MCP servers agents call, including schemas and descriptions used by models.
• Integrate third-party APIs and internal services behind those tools — auth, retries, rate limits, idempotency.
• Write and iterate the agent instructions that drive behaviour.
• Configure the agent loop: model selection, turn limits, reasoning effort, tool permissions.
• Debug agent behaviour in production and deploy with Docker to cloud runtimes.
• Add new features and integrations to live agents without breaking existing ones.
• Explain how an agent works to internal teams and occasionally to clients' engineers.

Skills

TypeScript

Node.js

LLM agents

REST APIs

Docker

Cloud platforms

Git & code review

English communication

Tools

Docker

AWS/GCP/Azure

Job description

XtendOps is hiring a backend engineer to own AI agent workflows end to end. You will design, build, and wire integrations for agents that operate across live customer traffic, focusing on production-grade backend systems.

You'll work with TypeScript/Node.js, implement tool calls and MCP-like patterns, and deploy via Docker on cloud platforms. Strong English communication and fast iteration are essential.