AI Engineer
robert halfLittle Rock (AR)
About the role
AI Development & Engineering Design, develop, and deploy AI-powered applications and intelligent automation solutions. Build customized AI agents capable of executing multi-step workflows, retrieving information, and interacting with enterprise systems. Integrate large language models (LLMs), including OpenAI, Anthropic Claude, and open-source models, into business applications. Develop Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge repositories. Implement AI solutions using Python, APIs, and modern AI frameworks such as LangChain, LangGraph, and LlamaIndex. Evaluate and optimize AI model performance, accuracy, reliability, and cost. Automation & Systems Integration Identify opportunities to automate repetitive IT and business processes. Build AI agents that integrate with enterprise applications, databases, cloud platforms, and internal APIs. Develop automation workflows for IT support, infrastructure monitoring, reporting, and operational processes. Integrate AI solutions with Microsoft 365, Service Now, Salesforce, ERP systems, and other enterprise platforms. Partner with infrastructure and cybersecurity teams to ensure secure deployment and operation of AI solutions. AI Infrastructure & Deployment Deploy AI applications within AWS, Microsoft Azure, or Google Cloud environments. Develop scalable APIs and microservices supporting AI applications. Implement CI/CD pipelines, containerization, and monitoring for AI workloads. Establish safeguards for data privacy, access control, model reliability, and responsible AI usage. Monitor AI application performance and troubleshoot production issues. Business Collaboration Work directly with business leaders to identify AI use cases with measurable ROI.Translate business requirements into practical technical solutions. Develop proof-of-concept applications and transition successful solutions into production. Document AI architecture, workflows, integrations, and operational procedures. Provide technical guidance on AI adoption and emerging technologies.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.