Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Exadel

Middle AI Agent, Developer Experience Engineer

Exadel

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

Posted 11/5/2026full-timeRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in designing 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, CI/CD workflows, and maintaining software quality standards.

Highest-signal resume keywords
AI Agent Design And ImplementationReact And TypeScript DevelopmentAutomated Testing And Quality PracticesCI/CD Pipeline IntegrationPrompt Engineering Techniques

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
AI Agent CapabilitiesPrompt EngineeringApplication ArchitectureAutomated TestingType CheckingLintingBuild ValidationContainerizationCloud InfrastructureDeveloper Tools Development
Soft Skills
Analytical AbilitiesProblem-SolvingAttention To DetailIndependent WorkRemote Collaboration
Tools & Technologies
ReactTypeScriptCI/CD ToolsAI-Powered Development ToolsInternal Platforms
Industry Keywords
Software EngineeringDevelopment PracticesApplication DeploymentEnterprise Application SecurityCloud-Native Architectures

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
  • 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
  • English level: Upper-Intermediate

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