# AI Agent Developer at KDCI

> Hybrid · Philippines · Unspecified · Software engineering · open. Source: https://alderhq.app/jobs/recruitee%3Akdci1%3A2682748 (read 2026-11-08).

## Facts (observed)

- Company: [KDCI](https://alderhq.app/companies/kdci)
- Location text: Pasig City, National Capital Region, Philippines
- Where it can be done from (inferred): Hybrid · Philippines (evidence: "Location: Pasig City, National Capital Region, Philippines")
- Posted: 2026-07-20 (111 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-08
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://kdci1.recruitee.com/o/ai-agent-developer
- Skills listed (inferred): Python, LLMs, Distributed systems

## Pay and sponsorship

- Posted pay: not posted

## Description (the employer's text)

### Role Summary

KDCI Outsourcing is looking for an AI Agent Developer to design and build autonomous AI agents capable of completing multi-step tasks. You'll work on agent architectures, tool use, and orchestration to power intelligent, goal-driven systems.

### Key Responsibilities

Design and build autonomous AI agents capable of multi-step reasoning and tool use

Develop agent orchestration logic, memory systems, and tool integrations

Test agent behavior for reliability, safety, and task completion accuracy

Integrate agents with APIs, databases, and internal systems

Monitor and debug agent performance in production environments

Research and apply emerging agent frameworks and best practices

### Requirements

### Requirements

2+ years of experience in software or AI/ML development

Strong Python programming skills

Experience with LLM APIs and agent frameworks (LangChain, AutoGen, CrewAI, etc.)

Understanding of prompt engineering, tool calling, and agent memory patterns

Solid grasp of API integration and system design

### Nice-to-Haves

Experience building multi-agent systems

Familiarity with vector databases and RAG pipelines

Background in reinforcement learning or planning algorithms

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/recruitee%3Akdci1%3A2682748 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.