AI Agent Developer
Summary
Designs and builds autonomous AI agents using Python, LLM APIs, and frameworks like LangChain/AutoGen/CrewAI; develops orchestration logic, memory systems, and tool integrations; tests and monitors agent performance in production.
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
Highlights
Build autonomous AI agents using LLMs, agent frameworks, and intelligent workflows.