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…