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Exadel

Middle AI Agent & Developer Experience Engineer

São Paulo or Rio de Janeiro, Brazil; BrazilBrazil
FS Engineering CoE
POSTED 21 OCTVERIFIED 17H AGO
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Role
18 days opentrue age
Posted 21 Oct
CompanyExadel →
68open roles
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Closed · 30d
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37,450open · Software engineering
All software engineering
75,011open
All tracked boards · live 8 Nov · n=37,450
TypeScriptReactPython

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

A leading global digital banking platform and one of the largest neobanks in Latin America, headquartered in Brazil. The company provides a mobile-first suite of financial services—including credit cards, savings accounts, and investments—designed to eliminate bureaucracy and high fees. By leveraging advanced data analytics and a customer-centric digital infrastructure, the organization delivers transparent and accessible financial solutions to millions of users across Brazil, Mexico, and Colombia.

What You’ll Do

  • 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

What You Bring

  • 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
  • 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
Source · ExadelFirst seen 7 NovOriginal ↗