• You are a Builder first. You get restless if you haven't shipped something tangible recently. • You have "Greenfield" experience. You have demonstrable experience building complex features or products from scratch, ideally as a founder or freelancer where you owned the full outcome. • You are adaptable. You thrive in environments where the goalpost might move. You view change not as a disruption, but as a necessary part of relentlessly refining the user experience. • You are technically fearless. You are a full-stack engineer who is comfortable working across all domains. You contribute to the backend, frontend, and database as needed to deliver features successfully. • You don’t need a "definition of done" before you start. If you need a fully spec'd ticket and a project manager to guide your day, you will struggle in this role. • You don’t prioritize "Perfect" over "Done." If you spend weeks optimizing code for over a million users when we need it to run well for thousands, this environment will frustrate you. • You don’t treat AI as a cheat code rather than a force multiplier. If you paste code from LLMs without understanding the underlying logic or security implications, this isn't the place for you.

• Design, develop, migrate, and maintain full‑stack applications • Build and integrate backend services and APIs (REST/SOAP) • Develop and enhance web frontends using modern JavaScript frameworks • Ensure performance, reliability, and scalability across web and mobile platforms • Collaborate with cross‑functional and global engineering teams • Troubleshoot issues and deliver practical, long‑term solutions • Contribute to code quality, architecture, and best practices

• Ownership of core parts of the AI architecture • Design and development of scalable AI agent systems (multi-step reasoning, decision pipelines, tool use) • Responsibility for reliability & quality of AI outputs (evaluation, monitoring, guardrails) • Further development of LLM systems (prompting, fine-tuning, tooling, memory, orchestration) • Building observability & evaluation frameworks (regression tests for AI) • Close collaboration with business & product teams to deliver real impact • Make technical decisions with long-term impact

• Lead the design and development of APIs, including specifications, endpoints, data models, and protocols such as REST and GraphQL • Provide technical leadership to a team of 3–4 developers, guiding design decisions and engineering best practices • Remain hands-on in the codebase, contributing production-grade code for core services • Conduct code reviews to ensure code quality, maintainability, and security • Partner closely with the Engineering Crew Lead and API Architect to review solution design and deliver robust, scalable solutions • Ensure seamless integration of APIs with internal systems, external applications, and third-party services • Promote the effective use of AI-enabled tools in the API development lifecycle to improve productivity and code quality • Create and maintain clear, comprehensive API documentation for consumers, including usage guidance and best practices • Implement and uphold security best practices, including authentication, authorization, and encryption • Interface with external engineering teams to ensure alignment on technical standards, governance requirements, compliance obligations, and ongoing cATO maintenance • Monitor and optimize API performance, reliability, and scalability • Manage API versioning and support backward compatibility as services evolve • Provide ongoing support, troubleshoot production issues, and implement enhancements based on stakeholder feedback • Participate in Tier 1 and Tier 2 on-call operations