Jr. AI Developer - Korean Bilingual MUST

Description

The team is hiring a junior developer to design, build and support AI applications for enterprise use, centred on generative AI, large language models and agentic AI.

You will work with application developers, business stakeholders and AI engineers on automation that improves productivity and business processes.

Hands-on experience is welcome, but a strong interest in AI and the ability to learn quickly matter just as much.

Responsibilities

• Design, build and maintain generative AI applications in Python using current AI frameworks.
• Build enterprise solutions on large language models such as OpenAI, Azure OpenAI, Amazon Bedrock or comparable platforms.
• Create retrieval-augmented generation (RAG) systems over company data, using embeddings, vector stores and retrieval methods.
• Develop agentic AI workflows that carry out tasks on their own, reason, plan and call tools.
• Build AI agents with orchestration tools such as LangChain, LangGraph, AutoGen, CrewAI or similar.
• Tune prompts and model outputs so they are accurate, reliable and fit business needs.
• Connect generative AI features to existing enterprise applications through REST APIs and back-end services.
• Create AI-powered chatbots, copilots and automation tools.
• Help link AI models with business systems, databases and enterprise platforms.
• Write API services with FastAPI or Flask.
• Build data pipelines for AI work covering preparation, transformation and indexing.
• Work with relational and vector databases that support AI knowledge management.
• Help evaluate, test and monitor AI models and keep improving them.
• Help deploy and run AI applications in cloud environments.
• Take part in MLOps and LLMOps work, including CI/CD automation, model lifecycle management and application monitoring.
• Work with application developers, DevOps engineers and business teams to deliver AI-driven solutions.
• Find and fix application issues and raise system performance and reliability.
• Document AI solutions, architecture, development processes and operating procedures.
• Join Agile/Scrum ceremonies, sprint planning and technical discussions.
• Expected outcome: help build enterprise generative AI applications that improve business productivity.
• Expected outcome: build reliable AI agent workflows that automate business processes.
• Expected outcome: design effective RAG solutions using enterprise knowledge sources.
• Expected outcome: improve LLM application accuracy through prompt engineering and evaluation.
• Expected outcome: create scalable AI architectures and reusable AI components.
• Expected outcome: collaborate well with business users and technical teams, and keep learning emerging AI technology for enterprise use.

Requirements

• A bachelor's degree in computer science, engineering, data science or a related field, or equivalent professional experience.
• Working knowledge of Python.
• Understanding of generative AI, large language models and AI application development.
• Experience or academic or project exposure to LLM-based application development.
• Understanding of RAG architecture and how AI systems retrieve knowledge.
• Familiarity with prompt engineering and ways to optimise LLM responses.
• Basic understanding of AI agents, including workflow automation, reasoning and tool integration.
• Experience developing and integrating REST APIs.
• Understanding of database concepts, including SQL, data modelling and data processing.
• Familiarity with AWS, Azure or Google Cloud.
• Exposure to AI and ML frameworks and libraries such as LangChain, PyTorch, TensorFlow or similar.
• Basic working knowledge of Git, version control and code reviews.
• Understanding of CI/CD pipelines and containerisation, with Docker preferred.
• Experience working in Linux environments.
• Strong problem-solving skills and the ability to pick up new technologies quickly.
• Excellent verbal and written communication skills.
• Preferred: experience building enterprise generative AI applications or AI automation solutions.
• Preferred: hands-on experience with agentic AI frameworks such as LangGraph, AutoGen, CrewAI or similar.
• Preferred: experience with cloud AI services such as Amazon Bedrock, Azure OpenAI Service, AWS SageMaker or Azure AI Studio.
• Preferred: experience with vector databases such as FAISS, ChromaDB, Pinecone or OpenSearch Vector Engine.
• Preferred: experience building AI-powered chatbots, copilots or intelligent assistants.
• Preferred: knowledge of Java and Spring Boot enterprise application development.
• Preferred: experience with enterprise system integration and application operations.
• Preferred: English-Korean bilingual communication skills.

Conditions

Contract length is 1 year, renewable.

Based in Plano, TX.

Korean bilingual skills are preferred.

All applicant information is kept confidential in line with EEO guidelines.