Senior AI Fullstack Engineer
Role details
Job location
Tech stack
Job description
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., * Mobile-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 orchestration.
- 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.
- End-to-end delivery: Take features from spec to production. Own the full lifecycle - architecture, implementation, testing, deployment.
- Infra & reliability: Firebase Auth (OTP, Apple, Google), EAS Build/TestFlight pipelines, and CI/CD hygiene across the stack.
- Code quality: Participate in security audits and peer review within a small, high-trust engineering team.
Tech Stack
Frontend / 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 operation.
- 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.
- 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.
- 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.
- 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.
Requirements
Do you have experience in iOS development?, Do you have a Master's degree?, * 5+ years of professional fullstack engineering, with meaningful production work in mobile.
- Strong React Native track record - shipped apps, managed build pipelines, handled auth flows.
- TypeScript across the entire stack - mobile, backend, and agent tooling. This is non-negotiable.
- Hands-on with LLM APIs (Anthropic, OpenAI, or equivalent) - prompt engineering, tool/function calling, multi-turn context management.
- 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.
- Mastra: Production experience with Mastra as an agent orchestration framework - workflows, tool definitions, agent memory, and inter-agent coordination patterns.
- LangChain: Solid working knowledge - chains, retrieval, tool use, memory backends, and integration into live backend services. Not just tutorials.
- 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.
- Comfort in a lean startup environment: fast cycles, high ownership, minimal process overhead.
- Strong written English. Arabic or German is a genuine plus given our markets.
Bonus Points
- Prior work with GDS/NDC/travel supplier APIs (Amadeus, Sabre, PKfare, RateHawk).
- Experience building multi-agent AI systems or autonomous workflow orchestration.
- Experience with Voice AI agents (Ultravox, Vapi, ElevenLabs, or equivalent) - building or integrating automated voice calling systems.
- Familiarity with DIFC / UAE regulatory context for SaaS or fintech products.
- Background in security auditing or static code analysis tooling.
Benefits & conditions
- Greenfield Ownership - You won't inherit a decade of technical debt. You'll shape the architecture from the ground up.
- Real AI Work - Not AI as a buzzword. Actual multi-agent systems in production, with full access to our OPUS Prime infrastructure.
- Remote-First - Work from anywhere. Async-friendly culture with a team distributed across Europe and the Gulf.
- Equity + Competitive Package - Meaningful equity stake. Competitive cash compensation. Built for the long term.
- High-Impact Market - GCC corporate travel is a $20B+ market with legacy infrastructure. You'll be building the replacement.
- Fast Cycles - No committee approvals. Ship, learn, iterate. If it breaks, fix it and ship again - better.