• Design, develop, and maintain cross-platform mobile applications using React Native and embedded Golang modules. • Write clean, maintainable, and testable code in both TypeScript and Go. • Participate in architectural discussions and contribute to technical decision-making for mobile and shared code. • Conduct code reviews, provide constructive feedback, and help maintain high code quality standards. • Mentor junior engineers and share knowledge with the team. • Troubleshoot and resolve performance, scalability, and reliability issues in both JS and Go layers. • Stay current with emerging mobile and cross-platform technologies.

• Dive into the code and build awesome applications using Java, Spring/Spring Boot, ReactJS, NodeJS, and other technologies • Be a key player in the full software development lifecycle • Craft and consume RESTful APIs • Automate everything with CI/CD pipelines • Embrace the power of containerization with Docker • Collaborate with your teammates to conquer technical challenges • Participate in code reviews to maintain high standards

• Dive into the code and build awesome applications using Java, Spring/Spring Boot, ReactJS, NodeJS, and other cool technologies. • Be a key player in the full software development lifecycle, from brainstorming ideas to deploying rock-solid solutions. • Craft and consume RESTful APIs like a pro. • Automate everything with CI/CD pipelines – because who has time for manual deployments? • Embrace the power of containerization with Docker to build and deploy applications that scale. • Collaborate with your teammates to conquer technical challenges and celebrate victories together. • Stay on the cutting edge of technology and bring fresh ideas to the table. • Participate in code reviews and help us maintain a high standard of code quality. • Be a positive force in our innovative and collaborative team environment.

• Work on AI-powered services that are used across product lines, developing both backend APIs and frontend interfaces. • Mentor lower-level peers and serve as an informal technical lead, particularly in AI/ML integration best practices. • Create and execute processes and procedures for the technical quality, security, performance, and consistency of AI-powered products. • Create "big picture" architectural approaches and implementation plans for AI-integrated software. • Ensure security, performance, and quality of software architectures and provide technical guidance to development teams. • Drive end-to-end system design decisions for scalable enterprise-grade AI platforms and collaborate with Product to evolve requirements into well-architected solutions. • Conduct research, gather information, interpret data, identify requirements, and create innovative solutions for AI-driven products. • Stay current on emerging AI/ML technologies, modern development tooling, and implement security best practices throughout the AI development lifecycle.