This role is ideal for a hands-on AI professional with both technical expertise and domain sensitivity—capable of shaping intelligent, adaptive agents that perform reliably in complex, real-world WordPress environments.

About the Role

As an Agentic AI Engineer at WPMaven, you'll build autonomous AI systems that can understand WordPress sites, plan multi-step actions, and execute complex tasks with minimal human intervention. You'll work on cutting-edge agent architectures that power our WordPress automation platform.

Responsibilities

• Train and configure agentic AI systems to operate effectively within WordPress environments, ensuring alignment with user goals, constraints, and best practices.
• Customize agent workflows, toolchains, and decision logic to handle WordPress-specific operations like content management, plugin configuration, and theme customization.
• Adapt reasoning, planning, and state management components for accuracy and relevance in WordPress automation applications.
• Collaborate with domain experts to capture WordPress knowledge, define task flows, and validate agent behavior in representative environments.
• Fine-tune models and configure tool integrations to support effective interaction, tool use, and decision-making in real-world scenarios.
• Monitor agent performance, identify misalignments with user expectations, and iteratively improve workflows and configurations.
• Support evaluation, simulation, and continuous learning pipelines to refine agent behavior based on feedback and performance data.
• Document configurations, training protocols, and best practices for scalable deployment.

Requirements

Experience

• 5+ years in AI system training, workflow configuration, or intelligent system customization, with a focus on domain adaptation.
• Experience working with AI/ML tools in applied settings.

Technical Skills

• Strong proficiency in Python and experience with AI/ML frameworks (e.g., PyTorch, TensorFlow).
• Familiarity with agentic AI workflows, including planning, tool use, and multi-step task execution.
• Hands-on experience configuring AI tools, models, and pipelines for use in specialized environments.
• Ability to interpret domain-specific requirements and translate them into actionable agent behaviors.

Preferred Knowledge

• Exposure to multi-agent systems, LLM orchestration frameworks (e.g., LangChain, AutoGen), or intelligent automation platforms.
• Experience working with structured knowledge bases, ontologies, or knowledge graph integrations.
• Familiarity with simulation environments or digital twins for AI testing and training.
• WordPress development or administration experience is a plus.