[Job - 29903] - Senior AI FullStack Developer ( Python/React) , Brazil

Key Responsibilities

• Analyze business requirements and translate them into scalable technical solutions.
• Design, build, and maintain full-stack applications using TypeScript (React) on the frontend and Python on the backend.
• Contribute to cloud-based solutions, primarily using AWS.
• Apply AI-enabled engineering practices using agents to accelerate software development and improve engineering productivity.
• Use Claude Code extensively as part of the development workflow, including skills, subagents, hooks, plugins, and related capabilities.
• Support the development and integration of AI-enabled features, automations, LLM-based solutions, agents, and RAG workflows.
• Work with prompt engineering, context engineering, and LLM integration patterns for production-grade applications.
• Implement and maintain automated tests, CI/CD pipelines, and reliable deployment practices.
• Collaborate with international stakeholders and technical teams, requiring strong communication skills in English.
• Proactively identify opportunities to improve architecture, engineering practices, productivity, automation, and system reliability.
• Work in a fast-paced, iterative environment with a strong focus on ownership, quality, and continuous improvement.

Required Qualifications

• Strong professional experience as a Senior Full-Stack Developer.
• Solid frontend experience with TypeScript and React.
• Strong backend experience with Python.
• Hands-on experience with AWS and cloud-based application development.
• Strong experience with AI-enabled engineering using agents.
• Strong hands-on experience with Claude Code, including skills, subagents, hooks, plugins, and advanced agent-based development workflows.
• Experience with solutions involving AI, LLMs, AI agents, automation, and/or RAG.
• Familiarity with AI/agentic frameworks and tools such as LangChain, CrewAI, AutoGen, Claude Code, Codex, or similar.
• Experience with prompt engineering, context engineering, and integrating LLMs into production applications.
• Experience with Docker, Kubernetes, or other DevOps/cloud infrastructure tools.
• Good understanding of software architecture, design patterns, scalability, and maintainability.
• Experience with automated testing, including unit, integration, and/or end-to-end tests.
• Experience with CI/CD pipelines and modern software delivery practices.
• Previous experience working in innovation teams or fast-paced product environments.
• Ability to work with autonomy, ownership, and a problem-solving mindset.
• Advanced English skills for collaboration with international teams and stakeholders.

Additional Plus

• Experience with Cursor and Codex as part of AI-assisted or agent-enabled engineering workflows.