About EteraEtera 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.The RoleWe'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.What You'll OwnMobile-first product: Build and maintain Etera's React Native app (Expo/TypeScript) booking flows, real-time updates, multilingual UX (Arabic/English)Backend services: Design and extend our TypeScript backend, including booking APIs, supplier integrations (PKfare, RateHawk, Hotelbeds), and webhook orchestrationLLM 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 reportsEnd-to-end delivery: Take features from spec to production. Own the full lifecycle architecture, implementation, testing, deploymentInfra & reliability: Firebase Auth (OTP, Apple, Google), EAS Build/TestFlight pipelines, and CI/CD hygiene across the stackCode quality: Participate in security audits and peer review within a small, high-trust engineering teamTech StackFrontend / Mobile: React Native + Expo, TypeScript, Firebase Auth (OTP, Apple, Google), EAS Build / TestFlight, Native iOS/Android context.Backend / AI: TypeScript (end-to-end), Anthropic API / Claude, Mastra (agent orchestration framework), LangChain (chains, tools, memory), Zeabur / cloud deployment, REST + Webhook integrations.You've Built and Run Agent Teams. Plural.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.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 operationSelf-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 qualityCross-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 areaMaintenance 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 onFull-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 onRequirements5+ years of professional fullstack engineering, with meaningful production work in mobileStrong React Native track record shipped apps, managed build pipelines, handled auth flowsTypeScript across the entire stack mobile, backend, and agent tooling. This is non-negotiableHands-on with LLM APIs (Anthropic, OpenAI, or equivalent) prompt engineering, tool/function calling, multi-turn context managementAI-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 workflowMastra: Production experience with Mastra as an agent orchestration framework workflows, tool definitions, agent memory, and inter-agent coordination patternsLangChain: Solid working knowledge chains, retrieval, tool use, memory backends, and integration into live backend services. Not just tutorialsAbility 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 simultaneouslyComfort in a lean startup environment: fast cycles, high ownership, minimal process overheadStrong written English. Arabic or German is a genuine plus given our marketsBonus PointsPrior work with GDS/NDC/travel supplier APIs (Amadeus, Sabre, PKfare, RateHawk)Experience building multi-agent AI systems or autonomous workflow orchestrationExperience with Voice AI agents (Ultravox, Vapi, ElevenLabs, or equivalent) building or integrating automated voice calling systemsFamiliarity with DIFC / UAE regulatory context for SaaS or fintech productsBackground in security auditing or static code analysis toolingBenefitsGreenfield Ownership You won't inherit a decade of technical debt. You'll shape the architecture from the ground upReal AI Work Not AI as a buzzword. Actual multi-agent systems in production, with full access to our OPUS Prime infrastructureRemote-First Work from anywhere. Async-friendly culture with a team distributed across Europe and the GulfEquity + Competitive Package Meaningful equity stake. Competitive cash compensation. Built for the long termHigh-Impact Market GCC corporate travel is a $20B+ market with legacy infrastructure. You'll be building the replacementFast Cycles No committee approvals. Ship, learn, iterate. If it breaks, fix it and ship again better