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.

Qualifications :

      Bachelors degree in Computer Science Engineering Data Science or related field or equivalent                     professional experience.

      Working knowledge of Python programming language.

      Understanding of Generative AI concepts Large Language Models (LLMs) and AI application                           development.

      Experience or academic/project exposure with LLM-based application development.

      Understanding of Retrieval-Augmented Generation (RAG) architecture and AI knowledge retrieval                     concepts.

      Familiarity with prompt engineering techniques and LLM response optimization.

      Basic understanding of AI Agent concepts including workflow automation reasoning and tool integration.

      Experience with REST API development and integration.

      Understanding of database concepts including SQL data modeling and data processing.

      Familiarity with cloud platforms such as AWS Azure or Google Cloud.

      Exposure to AI/ML frameworks and libraries such as LangChain PyTorch TensorFlow or similar                       technologies.

      Basic knowledge of software development practices including Git version control and code reviews.

      Understanding of DevOps concepts including CI/CD pipelines and containerization (Docker preferred).

      Experience working with Linux environments.

      Strong problem-solving skills and ability to learn emerging technologies quickly.

      Excellent verbal and written communication skills.

Performance Expectations

      Develop and deploy enterprise Generative AI applications that improve business productivity.

      Build reliable AI Agent workflows capable of automating business processes.

      Design effective RAG solutions using enterprise knowledge sources.

      Improve LLM application accuracy through prompt engineering and evaluation.

      Create scalable AI application architectures and reusable AI components.

      Collaborate effectively with business users and technical teams to deliver AI solutions.

      Continuously learn and apply emerging AI technologies to enterprise use cases.

Preferred Qualifications

      Experience developing enterprise Generative AI applications or AI automation solutions.

      Hands-on experience with Agentic AI frameworks such as LangGraph AutoGen CrewAI or similar technologies.

      Experience with cloud AI services such as:

-Amazon Bedrock

-Azure OpenAI Service

-AWS SageMaker

-Azure AI Studio

      Experience with vector databases such as:

-FAISS

-ChromaDB

-Pinecone

-OpenSearch Vector Engine

      Experience building AI-powered chatbots copilots or intelligent assistants.

      Knowledge of Java/Spring Boot enterprise application development.

      Experience with enterprise system integration and application operations.

      English-Korean bilingual communication skills.

Additional Information :

All your information will be kept confidential according to EEO guidelines. 

Remote Work :

No

Employment Type :

Full-time