Middle AI Agent, Developer Experience Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤝 Developer Relations (DevRel)

👻 Ghost score 12%

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Xadel IT Inc

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2019

💼 Consulting

📣 Marketing

🏥 Healthcare

Consulting • Marketing • Healthcare

Xadel IT Inc. is a cutting-edge IT consulting firm that specializes in providing high-quality enterprise solutions and services tailored to meet the individual demands of their customers. They offer a range of customized services including ERP solutions, applications development, web development, and testing technologies. With a team of professionals boasting extensive knowledge and top-notch competence, Xadel IT Inc. is committed to delivering innovative and trustworthy technology solutions that help clients enhance their business performance.

📋 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

🎯 Requirements

• 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

• 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

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