AI Agent Engineer

About the role

The AI Agent Engineer plays a critical role in ensuring AI agents run safely, reliably, and effectively within enterprise environments. This position supports the operational design, execution, and continuous optimization of AI agents and agent-based workflows.

Responsibilities

• Support the operational design and execution of AI agents and multi-agent workflows used across business and technology teams
• Monitor agent behavior, outputs, and reliability in production environments, identifying performance issues, errors, or unexpected behaviors
• Tune and optimize agent configurations, prompts, workflows, and execution logic to improve output quality and operational stability
• Integrate AI agents with enterprise systems, APIs, Model Context Protocols (MCP), and internal or external data sources
• Implement and maintain runtime guardrails, escalation paths, and human-in-the-loop controls to ensure safe and compliant AI operation
• Investigate and resolve operational issues related to agent performance, data access, or system integration
• Document workflows, configurations, and operational procedures to support repeatability and governance
• Collaborate with AI engineers, data teams, platform teams, and business stakeholders to support the controlled rollout of AI capabilities

Requirements

• 1–2 years of experience in a technical or operational role such as data operations, application support, system operations, or AI platform support
• Basic understanding of AI concepts such as agents, prompts, workflows, APIs, and automation
• Experience working with APIs, enterprise systems, or data integrations
• Strong attention to detail and a methodical approach to operating production systems
• Clear written and verbal communication skills, including the ability to document processes and issues
• Comfort working in environments that blend automation with human oversight and escalation

Preferred Qualifications

• Exposure to AI platforms, LLM-based systems, or automation tools
• Experience working with guardrails, approval workflows, or human-in-the-loop processes
• Familiarity with data governance, security, or compliance concepts
• Experience supporting production environments with reliability or uptime considerations