Sr. AI DevOps Developer- Bilingual (Korean English)

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 :

• Bachelors 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.

*****NO C2C******

Remote Work :

No

Employment Type :

Contract