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# AI Engineer

- **Company:** Robert Half
- **Location:** Coppell, TX, United States
- **Experience:** Experienced
- **Salary:** $135,200.0 - $145,600.0
- **Contract:** Temporary contract
- **Skills:** JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, Software Applications, Databases, Information Engineering, Python (Programming Language), Knowledge Management, Machine Learning, Software Deployment, Software Engineering, Unstructured Data, Enterprise Search, Large Language Models, Generative AI, AI Platforms, GPT
- **Published:** September 3, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3375502522&tx=VT6762THT&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 3+ years of software engineering, machine learning, data engineering, or applied AI experience.
 * Hands-on experience with Claude, ChatGPT, GPT-based solutions, AWS AI services, or similar generative AI platforms.
 * Experience designing prompts, optimizing AI outputs, mitigating hallucinations, and improving model performance.
 * Knowledge of RAG architectures, vector databases, embeddings, and enterprise search technologies.
 * Proficiency with Python and/or JavaScript for AI integrations, automation, and application development.
 * Experience with AI security, model testing, responsible AI practices, and data privacy controls.
 * Familiarity with document processing, OCR technologies, and structured/unstructured data analysis is preferred.

## Description

Seeking an AI Engineer to design, implement, and optimize AI-powered solutions that improve business processes, knowledge management, and operational efficiency. This role will work closely with technical and business teams to develop generative AI applications, build retrieval-based solutions, establish AI best practices, and ensure secure and compliant use of AI technologies., * Design, develop, and optimize AI-powered applications and workflows using Large Language Models (LLMs) and generative AI technologies.

 * Build and maintain prompt libraries, prompt evaluation frameworks, and best practices to improve AI accuracy, consistency, and user adoption.
 * Develop Retrieval-Augmented Generation (RAG) solutions that connect AI platforms to enterprise systems, databases, and document repositories.
 * Partner with business stakeholders to identify use cases and implement AI solutions that drive process improvements and operational efficiencies.
 * Establish AI governance, security controls, testing procedures, and compliance standards for production deployments.


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