AI Agent Developer

KDCI; Job; Hybride; USD 110 000 - 165 000; Plein temps

Résumé du poste

KDCI is seeking an AI Agent Developer to design and build autonomous agents capable of multi-step tasks, with focus on architectures, tool use, and orchestration.

You will integrate agents with APIs and databases, test for reliability and safety, and stay current with agent frameworks.

2+ years of experience, strong Python, and experience with LangChain, AutoGen, and CrewAI are preferred.

Qualifications

• 2+ years of experience in software or AI/ML development.
• Proficient in Python.
• 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.

Responsabilités

• 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

Connaissances

Python programming

LLM APIs & agent frameworks

Prompt engineering & memory patterns

API integration & system design

2+ years software/AI development

Outils

LangChain

AutoGen

CrewAI

Description du poste

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