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AI Agent Developer

KDCI · Virtual Assistant Services · Business Process Outsourcing (BPO) · Python · 3 months ago

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Location

Remote (Philippines)

Seniority

Junior · 2+ years exp

Confirmed on the employer's own hiring board on Oct 30, 2026. First seen by Alion on Jul 20, 2026. KDCI scores A on the Alion truth index.

Overview

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Impact

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KDCI

KDCI, or Key Discovery Consulting, is an offshore staffing and outsourcing company that builds dedicated full-time remote teams in the Philippines for overseas clients, with its delivery center in Pasig and a US office in Carson, California. Founded in 2011 by executives with long outsourcing experience, it supplies staff for accounting, customer support, legal operations, creative production, engineering and AI work. Its openings, all based in Pasig, include accounting and accounts payable specialists, SaaS and customer support specialists, power systems engineers, CAD drafters, graphic and AI image designers, social media specialists and AI and automation engineers.

kdci.co · HQ: Pasig, Philippines · Virtual Assistant Services · Business Process Outsourcing (BPO) · 51-200 employees · Est. 2011

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

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