Senior AI Fullstack Engineer

<div><h3>About Etera</h3><p>Etera is building the first AI-native corporate travel platform for the GCC market — designed from the ground up for how businesses in the region actually operate. We're a lean, high-conviction team replacing legacy TMCs with autonomous agents, real-time inventory, and a product experience that doesn't feel like it was designed in 2009.</p><h3>The Role</h3><p>We're looking for a Senior AI Fullstack Engineer who can own the full stack — from a smooth React Native mobile experience to TypeScript backend services and the AI/LLM layer that powers our multi-agent infrastructure (OPUS Prime). If you think in systems, ship fast, and find it natural to reason about both user-facing product and underlying model behavior, this role was built for you.</p><h3>What You'll Own</h3><ul><li>Mobile-first product: Build and maintain Etera's React Native app (Expo/TypeScript) — booking flows, real-time updates, multilingual UX (Arabic/English)</li><li>Backend services: Design and extend our TypeScript backend, including booking APIs, supplier integrations (PKfare, RateHawk, Hotelbeds), and webhook orchestration</li><li>LLM integration: Work directly with Claude (Anthropic API) and our multi-agent OPUS Prime system — building, tuning, and extending AI pipelines for travel intent detection, QA, and automated engineering reports</li><li>End-to-end delivery: Take features from spec to production. Own the full lifecycle — architecture, implementation, testing, deployment</li><li>Infra&reliability: Firebase Auth (OTP, Apple, Google), EAS Build/TestFlight pipelines, and CI/CD hygiene across the stack</li><li>Code quality: Participate in security audits and peer review within a small, high-trust engineering team</li></ul><h3>Tech Stack</h3><ul><li>Frontend / Mobile: React Native + Expo, TypeScript, Firebase Auth (OTP, Apple, Google), EAS Build / TestFlight, Native iOS/Android context.</li><li>Backend / AI: TypeScript (end-to-end), Anthropic API / Claude, Mastra (agent orchestration framework), LangChain (chains, tools, memory), Zeabur / cloud deployment, REST + Webhook integrations.</li></ul><h3>You've Built and Run Agent Teams. Plural.</h3><p>This is not a role for someone who has experimented with LLMs on side projects. We're looking for engineers who have designed, shipped, and actively maintained multi-agent systems — and who understand what it takes to keep them reliable in production.</p><ul><li>Proven agent team ownership: You have built one or more autonomous agent teams from scratch — defined their scope, wired their tools, managed inter-agent communication, and own their continued operation</li><li>Self-validating mindset: You don't hand off agent output blindly. You act as the primary validation layer for the systems you build — designing evaluation criteria, catching failure modes, and iterating on agent behavior based on real output quality</li><li>Cross-domain fluency: Your agents have touched multiple domains — not just one narrow use case. You can reason about agent behavior across booking logic, data quality, QA pipelines, code review, or content generation without needing a specialist in each area</li><li>Maintenance discipline: You have a track record of keeping agent systems healthy over time — prompt drift, tool failures, context window management, regression testing. Not just shipping and moving on</li><li>Full-stack integration: You connect agent teams to real product surfaces — not just notebooks or internal tools. Your work shows up in APIs, mobile interfaces, or backend workflows that real users depend on</li></ul><h3>Requirements</h3><ul><li>5+ years of professional fullstack engineering, with meaningful production work in mobile</li><li>Strong React Native track record — shipped apps, managed build pipelines, handled auth flows</li><li>TypeScript across the entire stack — mobile, backend, and agent tooling. This is non-negotiable</li><li>Hands-on with LLM APIs (Anthropic, OpenAI, or equivalent) — prompt engineering, tool/function calling, multi-turn context management</li><li>AI-augmented development: You use Claude Code, Codex, and similar agentic coding tools to achieve 10x engineering throughput. You know how to create, configure, and orchestrate coding agents — not just prompt them — and you treat them as force multipliers across your daily workflow</li><li>Mastra: Production experience with Mastra as an agent orchestration framework — workflows, tool definitions, agent memory, and inter-agent coordination patterns</li><li>LangChain: Solid working knowledge — chains, retrieval, tool use, memory backends, and integration into live backend services. Not just tutorials</li><li>Ability to operate as a full engineering team member — not a specialist silo. You ship frontend, backend, and AI layers as needed, and you hold the full picture in your head simultaneously</li><li>Comfort in a lean startup environment: fast cycles, high ownership, minimal process overhead</li><li>Strong w