AI Agent Developer

Hybrid · Pasig City, National Capital Region, PhilippinesFull-timePosted 3 months ago

KDCI

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KDCI

Hiring now

AI Agent Developer

Hybrid · Pasig City, National Capital Region, PhilippinesFull-timePosted 3 months ago

KDCI

Apply

Degree asked

Bachelor's

Languages required

Not stated

Work permit

Not stated

Posted

3 months ago

20 Jul 2026

Asks for

The ad says“Understanding of prompt engineering, tool calling, and agent memory patterns”
The ad says“Solid grasp of API integration and system design”
The ad says“Experience with LLM APIs and agent frameworks (LangChain, AutoGen, CrewAI, etc.)”
The ad says“Experience with LLM APIs and agent frameworks (LangChain, AutoGen, CrewAI, etc.)”
The ad says“Experience with LLM APIs and agent frameworks (LangChain, AutoGen, CrewAI, etc.)”
The ad says“Experience with LLM APIs and agent frameworks (LangChain, AutoGen, CrewAI, etc.)”
The ad says“Understanding of prompt engineering, tool calling, and agent memory patterns”
The ad says“Strong Python programming skills”
The ad says“Solid grasp of API integration and system design”
The ad says“Understanding of prompt engineering, tool calling, and agent memory patterns”

Values

The ad says“Experience building multi-agent systems”
The ad says“Background in reinforcement learning or planning algorithms”
The ad says“Familiarity with vector databases and RAG pipelines”
The ad says“Background in reinforcement learning or planning algorithms”
The ad says“Familiarity with vector databases and RAG pipelines”

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

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