Sr. AI DevOps Developer

Sbtglobalinc; Plano (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Sbtglobalinc in Plano, Texas seeks an experienced AI software engineer to design and implement GenAI agents and AI-powered automation aligned with client business requirements. You will translate complex needs into scalable AI solutions, collaborate with stakeholders, and evaluate models and frameworks.

Responsibilities include building and maintaining CI/CD pipelines, integrating LLMs with enterprise applications, performing thorough testing, monitoring production performance, and providing

Qualifications

• 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 in IT consulting or client-facing environments 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.

Responsibilities

• Design and develop custom AI agents, GenAI applications, and AI-powered automation per client requirements.
• Develop, test, deploy, monitor, and enhance AI solutions across development and production environments.
• Translate business requirements into practical AI solutions with client stakeholders.
• Implement and maintain RAG pipelines, prompt engineering, agentic workflows, tool/function calling, and LLM integrations.
• Provide 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 recommend suitable solutions for client projects.

Skills

Generative AI

LLMs

RAG architectures

Prompt engineering

Python programming

REST APIs

Education

Bachelor's degree in Computer Science/IT/Engineering

Tools

OpenAI/Azure OpenAI

Anthropic

Google Gemini

AWS Bedrock

Docker

Git

CI/CD

Job description

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 preferred

All your information will be kept confidential according to EEO guidelines.