Jr. AI Developer - Korean Bilingual MUST

∙      Design, develop, and maintain Generative AI applications using Python and modern AI frameworks.

∙      Develop AI-powered enterprise solutions leveraging Large Language Models (LLMs), including OpenAI,           Azure OpenAI, Amazon Bedrock, or similar AI platforms.

∙      Build Retrieval-Augmented Generation (RAG) solutions using enterprise data sources, vector databases,         embeddings, and knowledge retrieval techniques.

∙      Design and develop Agentic AI workflows that enable autonomous task execution, reasoning, planning,             and tool utilization.

∙      Develop AI agents using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or similar agent         orchestration technologies.

∙      Perform prompt engineering and optimize LLM responses for accuracy, reliability, and business use                   cases.

∙      Integrate Generative AI capabilities into existing enterprise applications through REST APIs and backend         services.

∙      Develop AI-powered chatbots, copilots, and intelligent automation solutions.

∙      Support integration of AI models with business systems, databases, and enterprise platforms.

∙      Design and implement API services using Python frameworks such as FastAPI or Flask.

∙      Develop data processing pipelines for AI applications, including data preparation, transformation, and               indexing.

∙      Work with relational databases and vector databases to support AI knowledge management solutions.

∙      Support AI model evaluation, testing, monitoring, and continuous improvement.

∙      Assist with deployment and operation of AI applications in cloud environments.

∙      Participate in MLOps/LLMOps activities including CI/CD automation, model lifecycle management, and             application monitoring.

∙      Collaborate with application developers, DevOps engineers, and business teams to deliver AI-driven                 solutions.

∙      Troubleshoot application issues and improve system performance and reliability.

∙      Document AI solutions, architecture, development processes, and operational procedures.

∙      Participate in Agile/Scrum ceremonies, sprint planning, and technical discussions.