Jr. AI Developer

Responsibilities

• Design, develop, and maintain Generative AI applications using Python and modern AI frameworks.
• Build enterprise LLM, RAG, Agentic AI, chatbot, copilot, and intelligent automation solutions.
• Develop AI agents using orchestration frameworks and create workflows for autonomous task execution, reasoning, planning, and tool use.
• Perform prompt engineering, LLM evaluation, response optimization, and continuous improvement.
• Integrate AI capabilities with enterprise applications, business systems, databases, and platforms through REST APIs and backend services.
• Design API services with FastAPI or Flask and develop data preparation, transformation, and indexing pipelines.
• Support relational and vector database solutions for AI knowledge management.
• Assist with cloud deployment, application operations, monitoring, MLOps/LLMOps, CI/CD automation, and model lifecycle management.
• Troubleshoot issues, improve performance and reliability, document solutions and processes, and collaborate with developers, DevOps engineers, business teams, and stakeholders.
• Participate in Agile/Scrum ceremonies, sprint planning, and technical discussions.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent professional experience.
• Working knowledge of Python and understanding of Generative AI, LLMs, AI application development, RAG architecture, prompt engineering, and AI agents.
• Experience or academic/project exposure to LLM-based application development.
• Experience with REST API development and integration and understanding of SQL, data modeling, data processing, relational databases, and vector databases.
• Familiarity with AWS, Azure, or Google Cloud and exposure to frameworks or libraries such as LangChain, PyTorch, or TensorFlow.
• Basic knowledge of Git, version control, code reviews, CI/CD, containerization, Docker, and Linux environments.
• Strong problem-solving, learning, verbal communication, and written communication skills.
• Preferred experience with enterprise Generative AI or AI automation applications; LangGraph, AutoGen, CrewAI, or similar agent frameworks; Amazon Bedrock; Azure OpenAI Service; AWS SageMaker; Azure AI Studio; FAISS; ChromaDB; Pinecone; OpenSearch Vector Engine; AI chatbots or copilots; Java/Spring Boot; and enterprise system integration or application operations.
• English-Korean bilingual communication skills are preferred.

Benefits

• Pay rate is up to $7699.43 per month, depending on experience.
• One-year renewable contract.
• Work location is Plano, TX.
• Korean bilingual communication is preferred.