- 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.
- 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.
- Korean Bilingual MUST
All your information will be kept confidential according to EEO guidelines.
