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- $120,000 to $220,000 USD / year
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Associate Director, AI Engineering
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United States
…readiness for every application the team ships, and decides how software built with agentic tools by scientists and colleagues becomes durable, validation-ready systems. Its decisions set…
Added 3 mins ago
Product Manager, Data Partnerships and Licensing
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Added 3 mins ago
Airside Experience Specialist - RDU - PT
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RF Test Automation Engineer (Python / CI)
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Strong software practices: Git, code review, modular design, maintainable test

SBT Global, Inc.

Sr. AI DevOps Developer(Korean Bilingual)

Plano, TX, United States

Company Description Compensation: up to $10,043.48/M depends on experience Contract Period: 1 year Work location: Plano, TX **Korean bilingual Required**

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Job details

Pay: Company Description Compensation: up to $10,043.48/M depends on experience Contract Period: 1 year Work location: Plano, TX **Korean bilingual Required**
Posting language: English
Posted: Nov 6, 2026

Original job description

Company Description Compensation: up to $10,043.48/M depends on experience Contract Period: 1 year Work location: Plano, TX **Korean bilingual Required**

Job Description

Position Overview:

We are seeking an AI DevOps Engineer to design, develop, deploy, and support enterprise AI agents and Generative AI solutions for clients, primarily in the consumer electronics and retail industries. This role combines hands-on AI application development with DevOps and production support for AI solutions already deployed.

Key Responsibilities

Design and develop custom AI agents, GenAI applications, and AI-powered automation based on client business requirements.
Develop, test, deploy, monitor, and continuously enhance AI solutions across development and production environments.
Work with client stakeholders to translate business requirements into practical AI solutions.
Implement and maintain RAG pipelines, prompt engineering, agentic workflows, tool/function calling, and LLM integrations.
Provide ongoing DevOps and production support, including monitoring, troubleshooting, performance optimization, upgrades, and incident resolution.
Build and maintain CI/CD pipelines and automated deployment processes.
Evaluate emerging AI models, frameworks, and technologies and recommend appropriate solutions for client projects.

Core Skillsets

Strong hands-on experience developing applications using Generative AI and LLMs
Experience with AI agents / agentic AI, including multi-step workflows, tool/function calling, orchestration, and autonomous task execution.
Strong knowledge of RAG architecture, including document processing, chunking, embeddings, vector search, retrieval strategies, and context management.
Strong prompt engineering skills, including prompt optimization, structured outputs, few-shot prompting, and hallucination mitigation.
Experience with LLM platforms such as OpenAI / Azure OpenAI, Anthropic, Google Gemini, AWS Bedrock, or equivalent.
Understanding of LLM evaluation, AI application testing, model selection, token/cost optimization, latency, and scalability.
Experience integrating LLMs with enterprise applications, APIs, databases, and business processes.
Knowledge of AI security considerations including prompt injection, data privacy, PII protection, access control, and responsible AI.
Strong programming experience in Python; Java, JavaScript/TypeScript, or C# is a plus.
Experience developing REST APIs, backend services, microservices, and enterprise integrations.
Experience with Git, CI/CD, Docker, and cloud environments such as Azure, AWS, or GCP.
Experience troubleshooting and supporting applications in production.

Qualifications

Bachelor's degree in Computer Science, Information Technology, Engineering, or related field
9+ years of software development, AI, cloud, or DevOps experience, with hands-on GenAI/LLM development experience strongly preferred.
Experience working in an IT consulting or client-facing environment is highly desirable.
Strong analytical, troubleshooting, communication, documentation, and problem-solving skills.
Ability to manage multiple client projects and explain complex AI concepts to both technical and non-technical stakeholders.
Bilingual preferred

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

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More about this job

Skills

Bilingualism
Consumer electronics
DevOps
Troubleshooting
CI/CD
Microsoft Azure
AWS
Business processes
Python
Oracle Java
JavaScript
TypeScript
C#
API development
Microservices
Git
Docker
Google Cloud
Computer science
Computer technology
Software development
Communication skills
Documentation
Problem solving

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