layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

Korean Bilingual Jr. AI Developer at BTI Solutions | LAYIQ

∙ 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.
Required 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.

Korean Bilingual Jr. AI Developer

Employer job description

Key Responsibilities

Preferred Qualifications

Benefits : Medical, dental, and vision insurance; 401(k)

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