Jr. AI Developer - Korean Bilingual MUST

Sbtglobalinc; Plano (TX); On-site; USD 120,000 - 170,000; Full time

Job summary

Sbtglobalinc is seeking a Senior AI Engineer to design, develop, and deploy enterprise Generative AI applications. You will build LLM-based solutions, RAG architectures, and AI agents, integrating with enterprise systems and APIs.

You will work with Python, OpenAI/Azure Bedrock, LangChain, and cloud platforms, driving prompt engineering, monitoring, and continuous improvement across deployments.

Qualifications

• Bachelor’s degree in CS/Engineering/Data Science or equivalent professional experience.
• Strong Python programming experience.
• Understanding of Generative AI concepts and LLMs for application development.
• Experience with LLM-based application development and RAG architectures.
• Familiarity with REST API development and integration.
• Knowledge of databases (SQL and data processing).
• Experience with cloud platforms (AWS/Azure/Google Cloud).
• Exposure to LangChain, ML frameworks, and AI/ML libraries.

Responsibilities

• Design, develop, and maintain Generative AI apps using Python and modern AI frameworks.
• Build AI-powered enterprise solutions leveraging OpenAI, Azure OpenAI, Bedrock or similar.
• Create RAG solutions using enterprise data sources and vector databases.
• Develop Agentic AI workflows enabling autonomous tasks and tool use.
• Develop AI agents using LangChain, LangGraph, AutoGen, CrewAI or similar.
• Perform prompt engineering and optimize LLM responses for business use cases.
• Integrate AI capabilities into enterprise apps via REST APIs and backend services.
• Develop AI-powered chatbots, copilots, and intelligent automation.
• Support integration of AI models with business systems and databases.
• Design API services with FastAPI or Flask; build data pipelines for AI apps.

Skills

Python

LLM concepts

REST API

AI frameworks

LangChain

DevOps CI/CD

Cloud platforms

Databases SQL/NoSQL

Vector databases

Linux

Education

Bachelor's degree in CS/Engineering/Data Science

Equivalent professional experience

Tools

LangChain

PyTorch

TensorFlow

Docker

Kubernetes

FastAPI

Git

Job description

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.

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