Korean Bilingual Sr. AI DevOps Developer
Role Overview
AI DevOps Engineer role designing, developing, deploying, and supporting enterprise AI agents and Generative AI solutions.
Client work is primarily in consumer electronics and retail.
The role combines hands-on AI application development, DevOps, and production support.
Key Skills for This Role
Full Job Posting
Position Overview
AI DevOps Engineer role designing, developing, deploying, and supporting enterprise AI agents and Generative AI solutions.
Client work is primarily in consumer electronics and retail.
The role combines hands-on AI application development, DevOps, and production support.
Key Responsibilities
- Design and develop custom AI agents, Generative AI applications, and AI-powered automation from client business requirements.
- Develop, test, deploy, monitor, and continuously enhance AI solutions across development and production environments.
- Translate client business requirements into practical AI solutions with client stakeholders.
- Implement and maintain RAG pipelines, prompt engineering, agentic workflows, tool and function calling, and LLM integrations.
- Provide ongoing DevOps and production support, including monitoring, troubleshooting, optimization, upgrades, and incident resolution.
- Build and maintain CI/CD pipelines and automated deployment processes.
- Evaluate emerging AI models, frameworks, and technologies and recommend solutions for client projects.
Core Skillsets
- Hands-on application development using Generative AI and LLMs.
- AI agents and agentic AI, including multi-step workflows, orchestration, tool calling, and autonomous task execution.
- RAG architecture, document processing, chunking, embeddings, vector search, retrieval strategies, and context management.
- Prompt engineering, structured outputs, few-shot prompting, prompt optimization, and hallucination mitigation.
- LLM platforms such as OpenAI, Azure OpenAI, Anthropic, Google Gemini, AWS Bedrock, or equivalent.
- LLM evaluation, AI application testing, model selection, token and cost optimization, latency, and scalability.
- LLM integration with enterprise applications, APIs, databases, and business processes.
- AI security including prompt injection, data privacy, PII protection, access control, and responsible AI.
- Python programming; Java, JavaScript/TypeScript, or C# is a plus.
- REST APIs, backend services, microservices, enterprise integrations, Git, CI/CD, Docker, and Azure, AWS, or GCP.
- Production troubleshooting and application support.
Qualifications
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
- 9+ years of software development, AI, cloud, or DevOps experience.
- Hands-on GenAI/LLM development experience is strongly preferred.
- IT consulting or client-facing experience is highly desirable.
- Strong analytical, troubleshooting, communication, documentation, and problem-solving skills.
- Ability to manage multiple client projects and explain complex AI concepts to technical and non-technical stakeholders.
- Bilingual ability is preferred.
Pay Range
- Pay range: $86,000 to $127,000 per year.
Benefits
- Benefits include medical, dental, vision, 401(k), paid sick leave, life, AD&D, and long-term disability insurance, subject to eligibility and plan terms.
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