AI Automation Engineer

What You'll Do

• Design, build, implement, and maintain AI-powered automations and agentic workflows across different business functions.

• Partner with teams across the organization to understand existing processes, identify automation opportunities, and translate business needs into practical technical solutions.

• Support AI automation projects from scoping and design through testing, implementation, monitoring, and continuous improvement.

• Integrate AI tools and agents with existing systems, data sources, APIs, and business workflows.

• Implement appropriate human-in-the-loop controls, monitoring, logging, and audit trails within automated processes.

• Troubleshoot and improve existing automations to enhance reliability, performance, and scalability.

• Maintain clear technical and process documentation for implemented solutions.

• Collaborate with Compliance, Product, Technology, Operations, and other teams to ensure solutions align with business, security, and regulatory requirements.

• Stay current with developments in AI agents, automation frameworks, and related technologies, and evaluate their potential application within Airtm.

What We're Looking For

• Experience building or implementing AI-powered automations, AI agents, or agentic workflows.

• Experience with automation platforms, APIs, integrations, or workflow orchestration tools.

• Experience with Claude, OpenClaw, or similar AI and agent development tools.

• Strong problem-solving skills and the ability to translate business processes into practical technical solutions.

• Ability to work independently while collaborating effectively with technical and non-technical stakeholders.

• Understanding of responsible AI practices, including human oversight, access controls, monitoring, and documentation.

• Strong organizational and communication skills, with the ability to manage projects and priorities across different teams.

• Professional fluency in English.

Experience in fintech, financial services, or another regulated environment is valued, but we also welcome candidates with relevant AI and automation experience from other industries.

Nice to Have

• Familiarity with AML, KYC, fraud prevention, compliance, or other financial-services processes.

• Experience working with SQL, data tools, APIs, or Google Workspace.

• Experience implementing AI or automation solutions in regulated or control-focused environments.

• Familiarity with AI governance, auditability, monitoring, or model and automation controls.