Production-Ready AI Agent Engineer: End-to-End Agents

XtendOps; Cebu City; On-site; PHP 700,000 - 1,000,000; Full time

Job summary

You will deploy with Docker to cloud runtimes, write agent instructions, and debug production issues while collaborating with client engineers to explain architecture and behaviour.

Qualifications

• 3+ years building production backend software, with strong TypeScript and Node.js.

Responsibilities

• Build and ship AI agents end to end, from design through production.
• Design and implement 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—wrong tool, wrong arguments, no tool call, early stop.
• Deploy with Docker to cloud runtimes and instrument runs for post-hoc debugging.
• Add features and integrations to live agents without breaking existing ones.
• Explain how an agent works to internal teams and, occasionally, to a client’s engineers.

Skills

TypeScript

Node.js

REST API

Docker

Cloud platforms

Git & Testing

Problem solving

Tools

Claude Agent SDK

OpenAI

LangChain/LangGraph

Vercel AI SDK

Job description

You will deploy with Docker to cloud runtimes, write agent instructions, and debug production issues while collaborating with client engineers to explain architecture and behaviour.