Jr. AI Developer- Bilingual (Korean/ English)

Company Description For More Open Positions Visit us at: http://recruiting.woongjininc.com/

Our Mission WOONGJIN INC. is a rapidly growing team who provides a range of unique, exceptional, and enhanced services to our clients. We have a strong moral code that includes the service of goodness without expectations of reward. We are motivated by the sense of responsibility and servant leadership.

Benefits

• Medical Insurance

• Vision Insurance

• Dental Insurance

• 401(k)

• Paid Sick hours

• Job Description

• We are seeking a motivated Junior Generative AI & Agentic AI Developer to join our team in Plano, TX. This role focuses on designing, developing, and supporting AI-powered enterprise applications using Generative AI, Large Language Models (LLMs), and Agentic AI technologies.

• The ideal candidate will have hands-on experience or strong interest in building AI applications using LLM frameworks, Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, and cloud-based AI services. The candidate will collaborate with application developers, business stakeholders, and AI engineers to deliver intelligent automation solutions that improve enterprise productivity and business processes.

• This position is ideal for a fast learner who is passionate about emerging AI technologies and wants to grow expertise in Generative AI application development, AI agents, and enterprise AI solutions.

Key Responsibilities

• 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

• Bachelor's 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.

• NO C2C