Middle AI Agent, Developer Experience Engineer

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Design, construct, test, and sustain AI agent functionalities, including tools, skills, commands, and prompts.

• Utilize prompt-engineering strategies to enhance agent precision, dependability, and user-friendliness.

• Establish structured output contracts, error-handling protocols, and assessment techniques to evaluate agent behavior.

• Create extensions, plugins, and integrations for AI-driven development tools.

• Develop and manage reusable application templates that ensure uniform engineering standards across generated projects.

• Build developer-facing interfaces and internal tools utilizing React and TypeScript.

• Enhance the developer experience through actionable feedback, clear error messages, dependable defaults, and streamlined workflows.

• Implement and uphold quality control measures, encompassing type checking, linting, automated testing, and build validation.

• Employ containerization and runtime standards to facilitate secure and consistent application development.

• Collaborate with platform engineers to merge AI functionalities with infrastructure, CI/CD pipelines, and deployment processes.

• Monitor platform utilization, pinpoint friction points, and perpetually enhance the experience based on observed behaviors and user feedback.

• Document technical choices, agent behaviors, platform capabilities, and development workflows.

• Integrate AI agents into daily engineering tasks and unearth opportunities to boost their effectiveness.

⛳️ Requirements

• A robust foundation in application architecture, software engineering, and current development practices.

• Practical experience in designing and implementing AI agents, including tools, skills, commands, and prompt engineering.

• Experience in systematically assessing AI agent behavior using defined criteria, test cases, and supporting evidence.

• Proficiency in React and TypeScript, including contemporary frontend development patterns and build tools.

• Experience in creating reusable application templates, developer tools, internal platforms, or self-service engineering solutions.

• Knowledge of automated testing, type checking, linting, build validation, and software quality principles.

• Familiarity with containerization and application runtime settings.

• Working knowledge of cloud infrastructure, CI/CD concepts, and application deployment processes.

• Strong capabilities in technical English, encompassing written documentation and remote collaboration.

• Excellent analytical and problem-solving skills, with a keen attention to detail.

• Ability to work autonomously, navigate uncertainty, and take responsibility for technical outcomes.

• Enthusiasm for integrating AI agents into routine engineering workflows and continuously enhancing their performance.

• English level: Upper-Intermediate.

• Nice-to-have: experience in developing plugins, extensions, or integrations for AI-powered development environments.

• Nice-to-have: experience using Python for supporting services, automation, or AI-related tasks.

• Nice-to-have: familiarity with enterprise application security, governance requirements, and engineering safeguards.

• Nice-to-have: experience in designing structured agent interfaces, typed outputs, and robust error-handling systems.

• Nice-to-have: understanding of cloud-native architectures, CI/CD pipelines, and production deployment strategies.

• Nice-to-have: experience in enhancing developer productivity through internal platforms, reusable templates, or self-service tools.

• Nice-to-have: exposure to AI evaluation frameworks, observability, or agent performance monitoring.

🏝️ Benefits

• International projects.

• Flexibility for in-office, hybrid, or remote work.

• Medical healthcare.

• Recognition program.

• Ongoing learning and reimbursement.

• Well-being program.

• Team events and local benefits.

• Sports compensation.

• Referral bonuses.

• Provision of top-tier equipment.