Autonomous AI Agent Engineer

KDCI Outsourcing; Pasig; On-site; PHP 600,000 - 1,000,000; Full time

Job summary

KDCI Outsourcing is seeking an AI Agent Developer to design and build autonomous multi-step agents that perform complex tasks with minimal supervision. You will work on agent architectures, tool use, and orchestration to power intelligent, goal-driven systems.

The role emphasizes Python, LLM APIs, and frameworks like LangChain, AutoGen, or CrewAI, with a focus on prompt engineering, memory patterns, and reliable API integrations within production environments.

Qualifications

• 2+ years in software or AI/ML development.
• Proficient in Python programming.
• Experience with LLM APIs and agent frameworks.
• Knowledge of prompt engineering and tool calling.
• Strong API integration and system design understanding.

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.

Skills

Experience 2+ yrs

Python programming

LLM APIs

Agent frameworks

API integration

Tools

LangChain

AutoGen

CrewAI

Job description

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.

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