Staff Automation Engineer, AI Engineer

🕒 June 3

🇧🇷 Brazil – Remote

⏰ Full Time

🔴 Lead

🤖 QA Automation Engineer

👻 Ghost score 53%

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Logo of RecargaPay

RecargaPay

201 - 500 employees

Founded 2010

💼 Consulting

📦 Logistics

📣 Marketing

💰 $10M Debt Financing on 2022-07

Consulting • Logistics • Marketing

RecargaPay is a leading all-in-one payment platform in Brazil, dedicated to providing easy and secure access to mobile payments and digital financial services for everyone. The platform enables users to pay bills, recharge transportation and mobile phones, purchase gift cards, and make Pix transactions with credit cards. RecargaPay offers a comprehensive range of financial services, including cashback rewards, small loans, and a digital wallet with daily interest accrual. Additionally, they provide services to businesses, such as free business accounts, payment processing, and marketing solutions. With a focus on accessibility and innovation, RecargaPay strives to change how payments are made in Brazil.

📋 Description

• Serve as the senior technical reference for the automation area • Define the architectural vision and company-wide automation strategy • Establish the automation operating model, intake process, prioritization criteria, ownership, support model, governance, standards, and lifecycle management • Prioritize the automation portfolio based on business impact, operational risk, effort, scalability, maintainability, and ROI • Define observability, auditability, supportability, and incident-management standards • Establish standards for logs, metrics, alerts, execution history, audit trails, runbooks, ownership, and post-incident reviews • Define AI governance and LLMOps practices, including prompt/version management, evaluation datasets, model selection, hallucination mitigation, human-in-the-loop patterns, access control, traceability, and responsible AI usage • Design reusable automation components, templates, connectors, libraries, golden paths, and reference architectures • Evaluate, select, and govern automation, RPA, workflow, and AI orchestration tools • Establish validated automation flows with reconciliation mechanisms and audit trails • Embed risk, compliance, privacy, segregation of duties, approval flows, and audit controls into automation design • Define architecture, governance, scalability, monitoring, reusable patterns, and operational standards for n8n or similar platforms • Design production-grade AI workflows and agents using RAG, tool usage, multi-LLM integration, evaluations, and human-in-the-loop controls • Define API contracts, integration patterns, and API governance • Govern RPA usage and determine when to use RPA, APIs, workflows, scripts, AI tools, or system integrations • Define when automations should run as scripts, serverless functions, containers, workflows, or platform services • Define and audit development security practices and information management • Establish guidelines for Claude Code, Codex, Cursor, GitHub Copilot, and similar AI-assisted engineering tools • Remain hands-on with complex implementations, architectural decisions, code reviews, troubleshooting, and production support • Mentor and develop technical capabilities across the team • Partner with Product Managers, Process Owners, and business and operations leaders across Finance, HR, Legal, Compliance, Risk, and Internal Operations • Drive automation outcomes measured by process efficiency, data quality, compliance posture, cost reduction, and internal user experience

🎯 Requirements

• Academic background oriented toward computer science, engineering, or software development disciplines • Mastery of Python for production-grade code, architectural review, and defining team patterns • Experience with workflow automation platforms such as n8n • Experience with AI orchestration platforms such as Langflow, LangGraph, CrewAI, or Semantic Kernel • Knowledge of RAG, tool usage, multi-LLM integration, evaluations, and human-in-the-loop controls • Experience defining API contracts, integration patterns, and API governance • Advanced AWS cloud architecture for automations at scale, including cost, resilience, and compliance considerations • RPA strategy and governance experience with UiPath, Blue Prism, Automation Anywhere, or Power Automate • Understanding of Docker and Kubernetes-based deployment models • Advanced security and information-management practices • Experience defining responsible AI-assisted engineering practices using Claude Code, Codex, Cursor, GitHub Copilot, or similar tools • FinOps perspective in architectural decisions • Practical experience applying AI frameworks in production projects • Strategic view of automation as a transversal company capability • Technical influence on product, operations, and engineering decisions • Executive communication skills for presenting ROI, risks, and trade-offs to leadership • Mentorship and people-development capability • Deep hands-on familiarity with enterprise platforms, internal operations, and back-office workflows • Strategic understanding of business processes, compliance frameworks, and operational efficiency • Desirable practical familiarity with financial domains such as lending, payments, credit cards, open finance, fraud prevention, merchant acquiring, or investment services • Understanding of KYC/AML, PCI-DSS, GDPR, and translating compliance mandates into resilient systems

🏖️ Benefits

• Competitive and market-aligned salary • Remote work — wherever you are, you’re part of the team! • Home office allowance through a monthly deposit in the RecargaPay app • Health and dental plans with no co-pay • Life insurance • Flexible meal allowance (via Flash) • TotalPass membership to take care of your health • Diversity and inclusion culture • Data privacy rights under LGPD, including the ability to request information updates or deletion

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