Middle AI Agent, Developer Experience Engineer

Xadel IT Inc

. Design, build, test, and maintain AI agent capabilities, including tools, skills, commands, and prompts .

Posted 10/31/2026full-timeRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing AI agents, utilizing React and TypeScript for developer-facing interfaces, and applying prompt-engineering techniques to enhance agent performance. Proficient in automated testing, quality assurance practices, and integrating AI capabilities within CI/CD workflows.

Highest-signal resume keywords

AI Agent DesignPrompt EngineeringReact DevelopmentAutomated TestingCI/CD Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Application ArchitectureSoftware EngineeringTypeScriptAutomated TestingLintingBuild ValidationContainerizationCloud InfrastructureAI EvaluationError Handling

Soft Skills

Analytical AbilitiesProblem-SolvingAttention to DetailIndependent WorkRemote Collaboration

Tools & Technologies

AI-Powered Development ToolsDeveloper ToolsInternal PlatformsReusable Application TemplatesCI/CD Pipelines

Industry Keywords

Application Runtime EnvironmentsEnterprise Application SecurityGovernance RequirementsCloud-Native ArchitecturesObservability

Tech Stack

Tools & technologies

CloudPythonReactTypeScript

About the role

Key responsibilities & impact

Design, build, test, and maintain AI agent capabilities, including tools, skills, commands, and prompts
Apply prompt-engineering techniques to improve agent accuracy, reliability, and usability
Define structured output contracts, error-handling mechanisms, and evaluation methods for measuring agent behavior
Develop extensions, plugins, and integrations for AI-powered development tools
Build and maintain reusable application templates that establish consistent engineering standards across generated projects
Develop developer-facing interfaces and internal tooling using React and TypeScript
Improve the developer experience through actionable feedback, clear error messages, reliable defaults, and streamlined workflows
Implement and maintain quality gates, including type checking, linting, automated testing, and build validation
Apply containerization and runtime standards to support secure and consistent application development
Collaborate with platform engineers to integrate AI capabilities with infrastructure, CI/CD pipelines, and deployment workflows
Monitor platform usage, identify friction points, and continuously improve the experience based on observed behavior and user feedback
Document technical decisions, agent behavior, platform capabilities, and development workflows
Incorporate AI agents into daily engineering activities and identify opportunities to improve their effectiveness

Requirements

What you’ll need

A solid foundation in application architecture, software engineering, and modern development practices
Hands-on experience designing and implementing AI agents, including tools, skills, commands, and prompt engineering
Experience evaluating AI agent behavior systematically using defined criteria, test cases, and supporting evidence
Experience with React and TypeScript, including modern frontend development patterns and build tooling
Experience building reusable application templates, developer tools, internal platforms, or self-service engineering capabilities
Knowledge of automated testing, type checking, linting, build validation, and software-quality practices
Familiarity with containerization and application runtime environments
Working knowledge of cloud infrastructure, CI/CD concepts, and application deployment workflows
Strong technical English skills, including written documentation and remote collaboration
Strong analytical and problem-solving abilities with excellent attention to detail
Ability to work independently, navigate ambiguity, and take ownership of technical outcomes
Interest in incorporating AI agents into everyday engineering workflows and continuously improving their performance
English level: Upper-Intermediate
Nice-to-have: experience developing plugins, extensions, or integrations for AI-powered development environments
Nice-to-have: experience using Python for supporting services, automation, or AI-related workflows
Nice-to-have: familiarity with enterprise application security, governance requirements, and engineering guardrails
Nice-to-have: experience designing structured agent interfaces, typed outputs, and robust error-handling mechanisms
Nice-to-have: understanding of cloud-native architectures, CI/CD pipelines, and production deployment practices
Nice-to-have: experience improving developer productivity through internal platforms, reusable templates, or self-service tooling
Nice-to-have: exposure to AI evaluation frameworks, observability, or agent performance monitoring

Benefits

Comp & perks

International projects
In-office, hybrid, or remote flexibility
Medical healthcare
Recognition program
Ongoing learning & reimbursement
Well-being program
Team events & local benefits
Sports compensation
Referral bonuses
Top-tier equipment provision