AI Native Software Engineer (Identity & Trust)

• As an AI Native Software Engineer II, you direct AI agents to build products and solutions, rather than writing code directly. You leverage AI coding agents to replace manual tasks, build and ship entire applications and basic agents end-to-end. You’re a full-stack product builder who thinks in terms of “I need to solve this customer problem” and orchestrates AI to get there. You are measured by the speed of delivery and the robustness of what you ship, not the volume of your commits
• Build complete applications, workflow automations, and basic agents within your team’s product area using AI coding agents
• Translate customer needs into buildable specifications and ship solutions from requirements through deployment
• Instrument solutions to track usage and outcomes, iterating based on what you learn
• Evaluate AI-generated output against Remitly’s standards for security, privacy, reliability, and quality before shipping
• Participate in customer conversations to understand acute problems and identify automation opportunities
• Document your approaches, effective prompts, and patterns for the team

Benefits

• Spend up to $1,000 per year on costs related to continuing education or on travel to countries Remitly serves, allowing you to gain insights to our customer’s journeys
• All of our office spaces offer our employees a place to collaborate and celebrate. With locally sourced artwork and vibrant designs, they create an environment that all can enjoy
• Fill your cup up outside of work and take advantage of our generous paid time off policies, leave policies, and flex working hours to ensure you are able to meet the demands of life outside of work
• Tap into the learning routines, resources and affinity groups Remitly provides to help you further your own DEI journey
• Contribute to the communities we serve through volunteering, employee giving, or civic advocacy
• Remitly provides rich benefit plans intended to cover the needs of our diverse teammates
• Ability to read and interpret basic analytics (usage metrics, conversion rates, error rates)
• Familiarity with common architectural patterns (web applications, APIs, databases, queues)
• Strong communication skills and a collaborative, learning-oriented mindset
• Ability to write effective prompts and iterate to achieve desired outcomes
• Proficiency with AI coding agents for end-to-end application development
• Understanding of full-stack applications: frontend, backend, data, and infrastructure
• Awareness of fundamental design principles, common UI/UX patterns, and basic product development concepts