RYZ Labs - Agentic Software Engineer

• Develop and deliver features and services for our travel platform on a full-stack product development team • Strong proficiency with agentic coding tools (Claude Code, Cursor, GitHub Copilot) in daily development • workflows to accelerate delivery and improve code quality • Review and validate AI-generated code for correctness, security, and performance before merging • Contribute to refactoring and modernizing existing services and architectures using cloud-native design • Write clean, testable, peer-reviewed, and well-optimized code — whether authored manually or • collaboratively with AI agents • Contribute to improving development and operations of an increasingly distributed architecture • Advocate for quality, durability, and technical debt reduction by working with Product Owners, Engineering • Managers, Product Designers and other key partners • Safeguard the privacy, security, and trust of our members' sensitive data throughout our implementations, in partnership with our Risk and Security teams • Contribute to meeting backend and system SLOs as part of the broader engineering team • Qualifications/Requirements of the Position: • Bachelor's degree in Computer Science, Computer Engineering, or equivalent experience • 3–5 years of full-stack development experience building web applications and services • 1+ year of hands-on experience using AI coding agents (e.g., Claude Code, Cursor, GitHub Copilot) in • professional development workflows • Solid experience building modern web applications, RESTful API design, and microservices architecture and patterns • Proficiency in two or more of the following: TypeScript/JavaScript, Python, C#/.NET • Experience with modern frontend frameworks such as React, Next.js, Vue, or Angular • Experience building and deploying applications on cloud platforms (AWS, Azure, or GCP) • Knowledge, Skills, and Abilities Required: • Proficiency using AI coding agents to accelerate development, generate and refine code, and assist with • debugging and testing • Familiarity with prompt engineering techniques for code generation and development workflows • Awareness of the Model Context Protocol (MCP) and how it enables AI agents to interact with external tools and data sources • Working knowledge of Azure AI Foundry, Retrieval-Augmented Generation (RAG), LangChain, and graph- • based data technologies (GraphRAG, GraphDB) • Hands-on experience building applications in cloud and hybrid environments • Familiarity with real-time streaming or distributed messaging platforms such as Redis, Kafka, RabbitMQ, or • Experience with containerization (Docker) and CI/CD pipelines • Familiarity with infrastructure-as-code tools and modern DevOps practices • Experience with modern project management and collaboration tools (Jira, ADO, GitHub Projects, or similar) • Agile software delivery experience (iterative planning and delivery) • Excellent communication skills, strong working relationships, and a high degree of team collaboration • Strong curiosity about emerging AI development tools and a desire to stay current with the evolving agentic coding landscape