AI Agent Engineer

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October 7

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Agiloft

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Enterprise • SaaS • Artificial Intelligence

Agiloft is a leading provider of enterprise contract lifecycle management (CLM) solutions designed to streamline and enhance the contracting process. Their Data-first Agreement Platform is a force multiplier that helps organizations reach agreements quickly and collaboratively, leveraging data to operate smarter and more transparently. Agiloft's offerings include integration hubs and an AI platform tailored for business services, healthcare, legal professionals, and procurement. With a high customer retention rate and recognition as a leader in the Gartner Magic Quadrant for CLM, Agiloft is known for its user-friendly no-code interface and robust service and support. The company emphasizes direct relationships and trust, promising to help clients 'Agree and Thrive.

201 - 500 employees

Founded 1991

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

💰 $45M Private Equity Round on 2020-08

📋 Description

• 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