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AI Engineer III
Preferred Hotels & ResortsAI Automation Engineer developing AI agents and automation solutions for Preferred Travel Group. Focusing on improving operational efficiency and integrating AI into business processes.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and operating AI agents for automation, leveraging LLMs and orchestration frameworks to drive business process efficiency. Provides technical leadership and mentorship while ensuring adherence to software engineering best practices.
Highest-signal resume keywords
AI-Driven AutomationLLM-Based AgentsAPI-Driven System IntegrationTechnical LeadershipSoftware Engineering Best Practices
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Agent DesignAutomation Solutions DevelopmentMulti-Step ReasoningDecision-MakingTask ExecutionService-Based ArchitecturesVersion ControlTestingCI/CDGenerative AI
Soft Skills
MentorshipCollaborationStakeholder Engagement
Tools & Technologies
Orchestration FrameworksMonitoring ToolsObservability ToolsCost Management Tools
Industry Keywords
Enterprise SystemsBusiness ProcessesAutomation OpportunitiesArchitectural StandardsDocumentation
About the role
Key responsibilities & impact- Design, build, and operate AI agents that perform multi-step reasoning, decision-making, and task execution across enterprise systems.
- Develop agent-based solutions using LLMs, tools/function calling, memory, and orchestration frameworks to automate end-to-end business processes.
- Partner with business stakeholders to identify high-impact automation opportunities and translate them into AI agent designs.
- Provide technical leadership, design guidance, and mentorship to engineers working on AI and automation initiatives.
- Contribute to architectural standards, best practices, and documentation for agent-based AI systems.
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
- Strong experience with API-driven system integration and service-based architectures in production environments.
- Hands-on experience building and operating AI-driven automation or agent-based systems.
- Solid understanding of software engineering best practices, version control, testing, and CI/CD.
- Demonstrated ability to deliver automation with measurable business impact.
- Experience with Generative AI, LLM-based agents, tool/function calling, and orchestration frameworks.
- Experience integrating AI solutions with enterprise applications and workflows.
- Familiarity with monitoring, observability, and cost management for AI systems.
Benefits
Comp & perks- In-office engagement plays a vital role in fostering spontaneous collaboration, accelerating innovation, and strengthening relationships across teams.
- Provides valuable opportunities for mentorship, professional development, and a deeper sense of community.