AI Engineer

• Design, develop, test, deploy, and support high-quality code
• Build, run, and consume MCP servers, including tool design, auth/OAuth, multi-tenant security, and deployment
• Build LLM agents with tool/function calling and multi-agent orchestration
• Test and evaluate agent behaviour and implement observability in production
• Contribute to architecture and design discussions and evaluate trade-offs around scaling, reliability, and maintainability
• Develop backend services in Python for AI and Agent work and Java for integrating with the client's core platform
• Use AI coding tools such as Cursor, Claude Code, and GitHub Copilot in the daily workflow
• Participate in code reviews
• Identify technical debt and contribute solutions
• Break development tasks into clear, manageable pieces and execute them reliably
• Collaborate with Product Management and Quality Assurance to refine requirements and ensure high-quality work
• Share learning about new patterns, tools, and methods
• Perform other relevant duties as required

• Be based in Brazil, Colombia, the Dominican Republic, or Mexico
• Strong level of English, written and spoken
• 4+ years of backend-heavy software development experience with Java and Python, with extensive usage of Agentic AI
• Solid experience in Java and Python, including working with data structures, relational databases, and SQL
• Hands-on experience with AI coding assistants such as Cursor, Claude Code, or GitHub Copilot as part of a daily development workflow
• Familiarity with cloud platforms, especially GCP, and application infrastructure concepts such as containers, caching, and distributed systems is an asset
• Experience working with Microservices
• Comfortable working independently on well-defined problems and seeing them through to completion
• Strong attention to detail and commitment to unit and functional testing
• Experience building AI-driven applications, agentic products and features, working with LLMs, or using frameworks like LangChain or Google ADK
• Hands-on production experience building, running, and consuming MCP servers, including tool design, auth/OAuth, multi-tenant security, and deployment
• Experience building LLM agents with tool/function calling and multi-agent orchestration, such as A2A or similar
• Experience testing and evaluating agent behaviour, plus observability in production
• Computer Science, Engineering, or similar technical aptitude gained through post-secondary education, hands-on experience, or both
• Nice-to-have: experience with React and TypeScript; familiarity with JavaScript design patterns and single-page apps

• Totally remote, full-time (40h/week)
• Work hours: 8 hours a day, East Coast office hours
• Independent contractor agreement
• Payment in USD, biweekly or monthly — your choice