Sr. AI DevOps Developer

SBT Global, Inc.; Plano (TX); On-site; USD 102,000 - 122,000; Full time

Job summary

SBT Global, Inc. in Plano, TX seeks an AI DevOps Engineer to design, deploy, and support enterprise GenAI solutions for clients in consumer electronics and retail. The role blends hands-on AI development with DevOps and production support for AI workloads.

You will build CI/CD pipelines, integrate LLMs with enterprise apps, and evaluate AI models while ensuring security and compliance. 9+ years of software/DevOps experience and a CS/engineering degree are typical qualifications.

Qualifications

• Bachelor's degree required; 9+ years in software dev, AI, cloud or DevOps preferred.
• GenAI/LLM hands-on development experience is strongly preferred.
• Experience in IT consulting or client-facing environments is desirable.

Responsibilities

• Design and develop custom AI agents and GenAI applications.
• Develop, test, deploy, monitor, and optimize AI solutions across dev and prod.
• Translate client requirements into practical AI solutions.
• Implement and maintain RAG pipelines, prompt engineering, and LLM integrations.
• Provide DevOps and production support including monitoring and incident resolution.
• Build and maintain CI/CD pipelines and automated deployment processes.
• Evaluate AI models and technologies and recommend solutions for client projects.

Skills

GenAI development

AI agents / agentic AI

RAG architecture

Prompt engineering

LLM platforms

REST APIs

CI/CD / DevOps

Docker / cloud

Production support

Education

Bachelor's degree in Computer Science / IT / Engineering

Tools

OpenAI / Azure OpenAI

Anthropic

Google Gemini

AWS Bedrock

Job description

Salary:up to $10,043.48/M depends on experience

Contract Period:1 year (renewable)

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.

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.
• 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

• 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.

Additional Information

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