AI Agent Engineer

Agiloft

133d

About The Position

The AI Agent Engineer is a key individual contributor role working cross-functionally to design, deploy, and manage AI agents across Agiloft’s operations. This role is responsible for ensuring that AI agents are safely integrated into enterprise workflows, monitored for performance and compliance, and continuously optimized to deliver measurable business value. The right candidate will have deep experience with machine learning, enterprise integrations, and agent-based systems, while also bringing strategic foresight into how AI agents can redefine workflows and accelerate productivity. Reporting directly to the VP of AI Operations, this role requires a mix of technical execution, ecosystem design, and thought leadership.

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.

Nice To Haves

• Experience working with multi-agent frameworks or orchestration tools.
• Knowledge of reinforcement learning, LLM fine-tuning, or advanced agent architectures.
• Background in SaaS or enterprise software environments.
• Bachelor’s or Master’s degree in Computer Science, Data Science, or related technical field.
• Demonstrated ability to contribute to AI strategy while delivering hands-on solutions.
• Passion for safe, effective, and innovative deployment of AI to transform the future of work.

Responsibilities

• 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.
• Other duties as assigned.

Benefits

• Floating holidays
• Quarterly wellness day

What This Job Offers

• Number of Employees: 251-500 employees