Artificial Intelligence Engineer, AI

DOMVS iT

. Design AI agent orchestration workflows .

Posted 9/29/2026full-timeRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing AI agent orchestration workflows and validating AI-generated architectural designs, alongside strong technical leadership in software engineering. Proficient in delivering distributed systems and enterprise-scale applications while ensuring performance, security, and scalability.

Highest-signal resume keywords

AI Agent Orchestration WorkflowsTechnical LeadershipDistributed Systems DesignModern Backend LanguagesCloud Platform Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Agent OrchestrationSoftware Architecture PatternsProduction Code DevelopmentNon-Functional Requirements EngineeringAI-Augmented Agile DeliveryQuality Gates for AI-Generated CodeMulti-Agent Systems ArchitectureContext EngineeringAI HarnessesPortfolio-Level Systems Thinking

Soft Skills

Strategic InfluenceCollaboration

Tools & Technologies

AWSJenkinsBitbucket PipelinesDockerKubernetes

Industry Keywords

AI Governance FrameworksAI Coding AssistantsAI Code Review ToolsEnterprise-Scale ApplicationsPerformanceSecurityResilienceScalability

Tech Stack

Tools & technologies

AWSCloudDockerJavaJavaScriptJenkinsKubernetesNode.jsPythonTypeScript

About the role

Key responsibilities & impact

Design AI agent orchestration workflows
Validate AI-generated architectural designs at the portfolio level
Provide technical leadership and strategic influence in software engineering
Design, write, debug, and maintain production code
Design and deliver distributed systems or enterprise-scale applications
Balance performance, security, resilience, and scalability with delivery pressures
Design AI-augmented Agile delivery workflows and AI governance frameworks
Serve as the technical lead for a solutions team
Keep up with the rapid evolution of AI coding assistants, AI code review tools, and multi-agent orchestration frameworks

Requirements

What you’ll need

Proven ability to design AI agent orchestration workflows and AI harnesses, and to validate AI-generated architectural designs at the portfolio level
Deep knowledge of AI agent orchestration platforms, multi-agent systems architecture, context engineering, AI harnesses, and AI capabilities and limitations
Extensive commercial experience in software engineering, with a proven track record of technical leadership and strategic influence
Strong knowledge of software architecture patterns and portfolio-level systems thinking
Hands-on experience designing, writing, debugging, and maintaining production code
Experience designing and delivering distributed systems or enterprise-scale applications
Experience with enterprise-scale non-functional requirements engineering, including performance, security, resilience, and scalability
Experience designing AI-augmented Agile delivery workflows and AI governance frameworks
Experience with at least one modern backend language, such as Java, Python, or TypeScript/Node.js
Experience with a cloud platform, such as AWS
Experience with CI/CD tools, such as Jenkins or Bitbucket Pipelines
Experience with containerization technologies, such as Docker or Kubernetes
Broad knowledge across the technology stack
Practical knowledge of AI coding assistants, AI code review tools, and multi-agent orchestration frameworks
Experience with quality gates for AI-generated code and portfolio-level automated validation tools
Experience serving as the technical lead for a solutions team
Bachelor’s degree or equivalent education in Computer Science, Mathematics, Chemistry, or a related field, or exceptional commercial experience leading system- or portfolio-level technical delivery in lieu of a degree

Benefits

Comp & perks

The support needed to achieve professional success
A collaborative and innovative environment