[Hiring] Middle AI Agent & Developer Experience Engineer @Exadel Inc (Website)

Role Description

• 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

Qualifications

• 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

Requirements

• Experience developing plugins, extensions, or integrations for AI-powered development environments
• Experience using Python for supporting services, automation, or AI-related workflows
• Familiarity with enterprise application security, governance requirements, and engineering guardrails
• Experience designing structured agent interfaces, typed outputs, and robust error-handling mechanisms
• Understanding of cloud-native architectures, CI/CD pipelines, and production deployment practices
• Experience improving developer productivity through internal platforms, reusable templates, or self-service tooling
• Exposure to AI evaluation frameworks, observability, or agent performance monitoring

Benefits

• 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