Staff Automation Engineer & AI Engineer

RecargaPay is seeking a Staff Automation Engineer to lead automation initiatives, define architecture, and mentor teams in a fast-growing, AI-first, remote financial services company serving over 10 million users in Brazil.

Location: Brazil

Responsibilities

• Define the automation operating model, including intake process, prioritization criteria, ownership, support model, governance forums, development standards, and lifecycle management.
• Define prioritization criteria for the automation portfolio based on business impact, operational risk, effort, scalability, maintainability, and ROI.
• Define observability, auditability, supportability, and incident management standards for business-critical automations.
• 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 criteria, 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 to accelerate delivery and standardize quality.
• Evaluate, select, and govern automation, RPA, workflow, and AI orchestration tools based on scalability, security, cost, vendor lock-in, maintainability, and enterprise fit.
• Establish standards for highly validated automation flows, ensuring every process includes automated reconciliation mechanisms and audit trails to maintain data integrity across systems.
• Define the governance for "Human-in-the-loop" patterns in automated financial and operational workflows to ensure high-trust execution in regulated environments.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 workflow automation platforms.
• Design production-grade AI workflows and agents using tools such as Langflow, LangGraph, CrewAI, Semantic Kernel, or similar, including RAG, tool usage, multi-LLM integration, evaluations, and human-in-the-loop controls.
• Define contracts, integration patterns, and API governance in the automation context.
• Govern RPA tools such as UiPath, Blue Prism, Automation Anywhere, or Power Automate, defining when to use RPA versus 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 in the team.
• Define guidelines for the responsible and effective use of Claude Code, Codex, Cursor, GitHub Copilot, or similar AI-assisted engineering tools, promoting code quality, testing, documentation, security, and sustainable engineering practices.
• Remain hands-on, directly contributing to complex implementations, architectural decisions, code reviews, troubleshooting, and production support for business-critical automations.
• Mentor and develop technical capabilities across the team through standards, enablement, and leadership by example.

Requirements

• Academic background oriented toward computer science, engineering, or software development disciplines.
• Python with mastery: production-grade code, architectural review, and definition of patterns for the team.
• Workflow automation platforms: defines architecture, governance, scalability, monitoring, reusable patterns, and operational standards for n8n or similar platforms.
• AI orchestration platforms: designs production-grade AI workflows and agents using tools such as Langflow, LangGraph, CrewAI, Semantic Kernel, or similar, including RAG, tool usage, multi-LLM integration, evaluations, and human-in-the-loop controls.
• APIs: defines contracts, integration patterns, and API governance in the automation context.
• Advanced AWS: cloud architecture for automations at scale, costs, resilience, and compliance.
• RPA strategy and governance: governs RPA tools such as UiPath, Blue Prism, Automation Anywhere, or Power Automate, defining when to use RPA versus APIs, workflows, scripts, AI tools, or system integrations.
• Container and deployment architecture: understands Docker and Kubernetes-based deployment models and defines when automations should run as scripts, serverless functions, containers, workflows, or platform services.
• Advanced security: defines and audits development security practices and information management in the team.
• AI-assisted engineering practices: defines guidelines for the responsible and effective use of Claude Code, Codex, Cursor, GitHub Copilot, or similar tools, promoting code quality, testing, documentation, security, and sustainable engineering practices.
• FinOps view: considers cost, efficiency, and operational impact in all architectural decisions.
• Practical experience applying AI frameworks in production projects.

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 for health.