Position Summary

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.

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.

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.

Pay Range: $70,000/year ~ $101,000/year

Benefits: Medical, dental, and vision insurance; 401(k)
retirement plan; paid sick leave; life, accidental death & dismemberment
(AD&D), and long-term disability (LTD) insurance; and optional voluntary
life/AD&D coverage. Benefits are subject to eligibility and applicable plan
terms.