Full Stack Developer - Mobile Developer Full stack engineer specialized in mobile development heavy on Android- Build and ship production-grade web apps using Node.js + React/Next.js- Develop performant iOS apps with Swift/SwiftUI and Android apps with Kotlin/Jetpack Compose
The Role:
We’re looking for a contract Full Stack “Ninja” Developer who can move fast across both web and native mobile platforms. You’ll build full-featured, AI-first user experiences using modern full-stack frameworks (e.g. Node.js + React/Next.js) and native mobile stacks (Swift for iOS, Kotlin for Android), all integrated with scalable AI backends and robust cloud infrastructure.
Key Responsibilities:
Build and ship production-grade web apps using Node.js + React/Next.js- Develop performant iOS apps with Swift/SwiftUI and Android apps with Kotlin/Jetpack Compose- Integrate AI capabilities: LLM APIs, tool use, vector DBs, memory, retrieval-augmented generation (RAG), and evaluation loops- Design secure, scalable backend services in JavaScript/TypeScript or Python to orchestrate agentic workflows- Deploy on AWS or GCP, using Docker, CI/CD, observability tooling, and IaC (Terraform or CDK)- Rapidly prototype, iterate, and polish features in tight collaboration with product, research, and design
Qualifications:
Deep experience with Node.js, React, and modern frontend architecture- Native app development expertise in Swift/SwiftUI (iOS) and Kotlin/Jetpack Compose (Android)- Backend experience with Node.js, Python, FastAPI, Next.js, LangChain, or similar frameworks- Familiarity with cloud platforms (AWS or GCP), containerization, IaC (Terraform/CDK), and continuous delivery pipelines- Strong product instincts and a passion for building clean, performant cross-platform apps- Demonstrated success shipping AI-first features or applications powered by LLMs or agent frameworks
Bonus Points:
Experience using AI development tools like Claude Code, Cline, or Copilot++ in production- Familiarity with AI/ML infrastructure and workflows, including:- Model training and fine-tuning pipelines using PyTorch or JAX- On-device inference with Core ML, NNAPI, or quantized model deployment- High-performance systems experience with C/C++, Rust, or Go for native modules, low-latency pipelines, or WebAssembly- Familiarity with the latest developments in AI technologies
