AI Platform Engineer

Modus-create
Brazil, Colombia, Costa Rica, Mexico
Workplace: RemoteFull timeFunction: DevOps, Cloud & InfrastructureExperience: 3-8 yearsSkills: ["Communication","Troubleshooting","Incident response","Independent work","Collaboration"]

Design, build, and operate secure, scalable cloud platforms embedded in cross-functional product teams. Own platform deliverables and advise on architecture decisions to reduce deployment friction and improve reliability. Implement cloud infrastructure and CI/CD pipelines with infrastructure-as-code, observability, and incident response. Support AI infrastructure for LLM serving, vector databases for RAG, agentic workflow security, and safe integration of AI-assisted development tools. Help teams scale reliably through monitoring, governance, and documentation.

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FursaFursa
Modus-create
Modus-create
21 hours ago

AI Platform Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Design, build, and operate secure, scalable cloud platforms embedded in cross-functional product teams. Own platform deliverables and advise on architecture decisions to reduce deployment friction and improve reliability. Implement cloud infrastructure and CI/CD pipelines with infrastructure-as-code, observability, and incident response. Support AI infrastructure for LLM serving, vector databases for RAG, agentic workflow security, and safe integration of AI-assisted development tools. Help teams scale reliably through monitoring, governance, and documentation.
Location: Brazil, Colombia, Costa Rica, Mexico
Workplace: Remote
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Deploy, operate, and secure AI infrastructure including LLM serving, vector stores, and agentic systems
  • •Integrate and support AI-assisted development tools safely within platform workflows
  • •Design and operate cloud architectures across dev, staging, and production
  • •Build and maintain deployment pipelines, CI/CD automation, and infrastructure-as-code
  • •Implement observability (metrics, logging, tracing) and participate in incident response with runbooks and documentation

Key Requirements

  • •3–8 years hands-on platform, infrastructure, DevOps, or cloud engineering experience
  • •Familiarity with LLM APIs, vector databases, or AI model serving
  • •Familiarity with AI-assisted development tools (GitHub Copilot, Claude, Cursor)
  • •Understanding of AI security including prompt injection, data governance, model monitoring, and output validation
  • •Strong proficiency supporting and building in one cloud platform (AWS, Azure, or GCP) with infrastructure-as-code and Kubernetes/Docker/CI-CD experience
Experience:3-8 yearsPlatform engineeringDevOpsCloud engineeringAI infrastructureLLMSREObservabilityIncident response
Skills:CommunicationTroubleshootingIncident responseIndependent workCollaboration
Languages:English
Tech Stack:AWSAzureGCPTerraformCloudFormationPulumiKubernetesDockerCI/CDObservabilityMetricsLoggingTracingLLM APIsVector databasesRAGPythonBashGoLinux/Unix

Company Brief

Modus-create
Digital transformation consultancy delivering product design, cloud-native engineering, DevOps, and organizational change services to help enterprises build and scale modern digital products and platforms.
Industry: Consulting
Company Size: Medium (51 to 250 employees)
Growth: Established Company
Funding: Bootstrapped
Headquarters: Raleigh, United States
Founded: 2007
WebsiteLinkedIn