Are you interested in working with the World’s leading AI-powered Quality Engineering Company? Ready to advance your career, team up with global thought leaders across industries and make a difference every day? Join us at Qualitest!
We are looking for a Full Stack Developer to join our growing team in Burlingame / Menlo Park, CA United States!
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.
Required 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.Preferred Qualifications :
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.What We Offer :
A role building at the edge of what’s possible in AI-powered applications, across web and native platforms.The chance to co-create next-generation products inside AI Tech, alongside top-tier engineers, designers, and researchers.Access to cutting-edge models, tools, infrastructure, and internal research to ship bold, usable features fast.