Sr. AI DevOps Developer
Posted:
10 September 2026 (6 hours ago)
Application Deadline:
8 December 2026
Vacancies:
1 Vacancy
Job Summary
- 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.
- Korean Bilingual preferred
Additional Information :
All your information will be kept confidential according to EEO guidelines.
Remote Work :
No
Employment Type :
Full-time