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Airtm

AI Automation Engineer

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Remote from
LATAM
Salary
Undisclosed
Department
Software Engineering
Employment
Full Time
Experience
Open level
Published
Apply before
1 Nov 2026
Listing views
33
Application actions
1
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AI Summary

The role, at a glance.

This role builds and maintains AI-powered automations and agentic workflows across Airtm’s business functions. The engineer will translate operational requirements into integrated solutions using AI tools, APIs, data sources, and workflow platforms. Responsibilities span discovery, implementation, testing, monitoring, documentation, troubleshooting, and continuous improvement. Because Airtm operates financial infrastructure, the work requires strong controls for human review, logging, auditability, security, and regulatory alignment. The position is a cross-functional, hands-on engineering role with substantial independent ownership.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

4/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

4/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThe role requires both practical AI automation engineering and sound judgment in a regulated fintech environment. Success depends on integrating disparate systems while building reliable, observable workflows with appropriate human controls.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianMarket rate
$125,000
US market range$100k–$155k
AI insightNo actual salary was disclosed in the posting. These are estimated US-market annual base-salary figures in USD for a mid-level AI Automation Engineer with API integration, agentic workflow, and regulated-environment responsibilities; actual LATAM compensation may differ materially by country, contract structure, and seniority.

Core skills

Skills and capabilities most closely associated with this opportunity.

AI automationAgentic workflowsAPI integrationsWorkflow orchestrationPrompt engineeringResponsible AIHuman-in-the-loop controlsMonitoring and loggingTechnical documentationFintech compliance
Sample interview questions
Describe an AI automation you designed from initial discovery through production deployment.

I begin by mapping the current process, identifying failure points and measurable success criteria, then selecting the appropriate AI and integration components. I build a small testable workflow, add validation and human-review checkpoints for high-risk decisions, and deploy with logging, alerts, documentation, and post-launch performance reviews.

How would you implement human oversight in an AI workflow that handles customer or financial data?

I would classify decisions by risk and require human approval for exceptions, irreversible actions, low-confidence outputs, and sensitive changes. I would also apply least-privilege access, maintain clear audit logs, establish escalation paths, and regularly review accuracy, override rates, and control effectiveness.

How do you approach integrating an AI agent with an existing internal system?

I first confirm the business objective, system ownership, API capabilities, data sensitivity, and failure modes. I use authenticated, scoped API access; define structured input and output contracts; build retries and idempotency where needed; and test the integration in a controlled environment before monitoring it in production.

What metrics would you use to evaluate whether an automation is successful?

I would measure process-cycle-time reduction, manual hours saved, completion and exception rates, error rates, cost per transaction, user adoption, and service reliability. For AI components, I would additionally monitor quality, confidence distributions, human override rates, and any safety or compliance incidents.

How would you prioritize automation opportunities across multiple teams?

I would score opportunities by business impact, process volume, implementation effort, data readiness, operational risk, and control requirements. I would prioritize high-value, repeatable workflows with clear owners and measurable outcomes, while sequencing more complex or high-risk initiatives after the necessary governance foundations are in place.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
Opportunity details

About this role.

About us:

Airtm is a financial-infrastructure company building the future of the online-work economy. We are on a mission to empower the world’s growing number of Digital Entrepreneurs in the Global South, giving them the financial freedom to thrive.

The problem is clear: in emerging markets, accessing the dollar economy is difficult. Cross-border payments are slow, expensive, and often lose value to inflation. This limits the potential of millions of talented individuals.

Airtm’s solution is a swift and comprehensive financial platform that facilitates low-value cross-border payments and local cash-outs. As pioneers in stablecoin-payment infrastructure, Airtm has built the most advanced cross-border payment system available on the market.

As a company married to the world of online work, Airtm will go beyond payments to build the necessary infrastructure the online-work economy needs to thrive. We are fostering an entirely new economy, giving individuals, communities, and countries the tools to take control of their financial destinies.

About the Role

The AI Automation Engineer will work across different areas of the company to identify opportunities where AI and automation can improve processes, reduce manual work, and support more scalable operations.

This is a hands-on role combining technical implementation, problem-solving, and cross-functional collaboration. You will help take automation initiatives from initial idea and requirements through implementation, testing, documentation, and ongoing improvement.

You will also help ensure that AI-powered workflows are implemented responsibly, with appropriate human oversight, controls, documentation, and monitoring—particularly when working with sensitive, financial, or customer-related processes.

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.

Compensation

Additional Information

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