Designs, develops, deploys, monitors, and supports enterprise AI agents and Generative AI solutions. Responsibilities include building RAG pipelines, agentic workflows, prompt-engineering systems, LLM integrations, REST APIs, CI/CD pipelines, and production support processes. The role translates client requirements into scalable AI applications, evaluates emerging models and frameworks, optimizes performance and costs, and addresses AI security, privacy, and reliability concerns. It requires strong Python development, cloud and DevOps experience, client-facing communication, and Korean bilingual capability.
Company Description
Compensation: up to $10,043.48/M depends on experience
Contract Period: 1 year
Work location: Plano, TX
**Korean bilingual Required**
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.
- 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
All your information will be kept confidential according to EEO guidelines.
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