Senior AI Mobile-App Engineer (React Native & LLM)

What You'll Do

• End-to-End AI Integration: Architect, build, and deploy production-grade AI solutions, combining modern React Native frontends with robust, cloud-native backend services.
• LLM & Agent Workflow Engineering: Implement state-of-the-art LLM capabilities (Gemini, OpenAI, Claude) using RAG architectures, prompt engineering, and intelligent chatbot integrations.
• Orchestration & Backend Development: Design scalable APIs and integrate orchestration frameworks, vector databases, and knowledge retrieval systems to power AI-driven applications.
• Cloud-Native Deployment: Containerize services using Docker/Kubernetes and manage deployment pipelines on cloud infrastructure (GCP preferred) with CI/CD, proactive monitoring, and production support.
• Autonomous Execution: Take full ownership of technical deliverables—converting high-level product concepts into performant, secure, and production-ready applications.

Requirements

• Mobile & Frontend Core: 5+ years of hands-on experience in software development with strong proficiency in React Native and modern JavaScript/TypeScript.
• AI Application Architecture: Direct hands-on experience building AI applications, including direct LLM integration (Gemini, Claude, OpenAI), RAG pipeline development, and prompt optimization.
• Backend & API Systems: Deep experience with backend integration, API design, and cloud-native backend development (Python proficiency highly valued).
• DevOps & Cloud Infrastructure: Proven experience with Docker, Kubernetes (or equivalent container orchestration), CI/CD pipelines, and cloud platforms (GCP preferred, AWS or Azure accepted).
• AI Tooling (Preferred): Familiarity with AI orchestration frameworks (LangChain, LangGraph, n8n, Copilot Studio, Vertex AI) and vector databases.
• Professional Attributes: Self-directed operator with strong problem-solving skills, ownership mindset, and clear stakeholder communication capabilities.