GenAI DevOps Developer (Onsite)

Ledgent Technology; Plano (TX); On-site; USD 69,000 - 77,000; Full time

Job summary

Ledgent Technology in Plano, TX seeks an AI DevOps Engineer to design, develop, deploy, and support enterprise GenAI solutions for client projects. This W2 contract role combines hands-on AI development with DevOps and production support across development and production environments.

The position requires 9+ years of software/AI experience, strong GenAI/LLM expertise, and hands-on work with CI/CD, Docker, and cloud platforms. Onsite work in Plano, TX is expected.

Qualifications

• Bachelor's degree required in CS/IT/Engineering or related field.
• 9+ years of software development, AI, cloud, or DevOps experience, with GenAI/LLM development strongly preferred.
• Experience in IT consulting or client-facing environments is desirable.
• Strong analytical, troubleshooting, communication, documentation, and problem-solving skills.
• Ability to explain complex AI concepts to both technical and non-technical stakeholders.

Responsibilities

• Design and develop AI agents, GenAI applications, and AI-powered automation based on client requirements.
• Develop, test, deploy, monitor, and enhance AI solutions across development and production environments.
• Translate client 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 solutions for client projects.

Skills

GenAI development

LLM integrations

CI/CD pipelines

Docker

Git

Cloud platforms

Prompt engineering

RAG pipelines

Production support

Onsite collaboration

Education

Bachelor's degree in Computer Science / related field

Tools

OpenAI / Azure OpenAI

Anthropic

Google Gemini

AWS Bedrock

Job description

Salary: USD50 - USD56 per hour

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.

W2 Contract with Roth Staffing (Ledgent Tech is a division of Roth). Applicants must be legally authorized to work in the United States. The company is not able to sponsor employment visas now or in the future.

Rate Range: $50.00 - $56.00

Duration: 1 year and could be extended

Location: Onsite in Plano, TX

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.
• 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.