Agiloft

AI Agent Engineer

Agiloft

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

ERPPython

About the role

  • Develop, deploy, and maintain AI agents that support and enhance enterprise workflows.
  • Collaborate with business stakeholders to identify use cases where AI agents can reduce manual effort, improve accuracy, or deliver new capabilities.
  • Ensure safe, compliant, and ethical deployment of agents, aligning with enterprise governance and security requirements.
  • Prototype, test, and iterate on agent-driven workflows before broad rollouts.
  • Monitor deployed agents to ensure consistent, high-quality performance against KPIs.
  • Establish feedback loops and reporting mechanisms for agent accuracy, usability, and business impact.
  • Troubleshoot and refine agents based on usage patterns, stakeholder feedback, and system performance data.
  • Maintain comprehensive documentation and version control of agent lifecycles.
  • Partner with the GPT & AI Systems Lead to design and evolve Agiloft’s AI agent ecosystem.
  • Integrate agents with enterprise systems (CRM, ERP, HRIS, knowledge bases) using APIs and automation frameworks.
  • Define interoperability standards to ensure agents complement each other and operate within a unified architecture.
  • Work cross-functionally to align agents with organizational goals.
  • Contribute to the broader vision of AI adoption at Agiloft by shaping the agent ecosystem strategy.
  • Stay ahead of emerging trends in multi-agent systems, orchestration, and enterprise AI safety.
  • Share knowledge and best practices to upskill colleagues and foster a culture of innovation.
  • Act as a trusted advisor to stakeholders on where and how AI agents should (and should not) be deployed.

Requirements

  • 5+ years of experience in AI/ML development, automation, or enterprise systems integration.
  • 2+ years hands-on experience designing, deploying, or managing AI agents or intelligent automation frameworks.
  • Strong technical proficiency in Python, APIs, and agent orchestration platforms.
  • Experience with monitoring, troubleshooting, and optimizing deployed AI systems.
  • Familiarity with enterprise compliance and governance requirements (SOC2, ISO27001, ISO42001, GDPR, etc.).
  • Ability to design and evaluate agent workflows in complex business environments.
  • Excellent problem-solving and communication skills, with the ability to explain technical solutions to non-technical audiences.
  • Self-starter with the ability to balance day-to-day execution with longer-term strategic thinking.
Benefits
  • floating holidays
  • a quarterly, no-questions-asked wellness day

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
AI developmentML developmentautomationenterprise systems integrationPythonAPIsagent orchestrationmonitoringtroubleshootingoptimizing AI systems
Soft skills
problem-solvingcommunicationstrategic thinkingcollaborationfeedback loopsinnovationstakeholder managementdocumentationusability evaluationcross-functional teamwork
Certifications
SOC2ISO27001ISO42001GDPR
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