FullStack Developer (UX Design) || Burlingame / Menlo Park, CA / Seattle, WA (Onsite) || Fulltime
Role: Full Stack Developer (UX Design)Location(s):Primary: Burlingame, CA & Menlo Park, CA (On-site - 5 days/week)Secondary: Seattle, WAWork Type: Onsite 5 days (No remote/hybrid option)Visa Requirements: Independent Visa holders onlyThe RoleWe'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 ResponsibilitiesBuild and ship production-grade web apps using Node.js + React/Next.jsDevelop performant iOS apps with Swift/SwiftUI and Android apps with Kotlin/Jetpack ComposeIntegrate AI capabilities: LLM APIs, tool use, vector DBs, memory, retrieval-augmented generation (RAG), and evaluation loopsDesign secure, scalable backend services in JavaScript/TypeScript or Python to orchestrate agentic workflowsDeploy on AWS or GCP, using Docker, CI/CD, observability tooling, and IA (Terraform or CDK)Rapidly prototype, iterate, and polish features in tight collaboration with product, research, and designQualificationsDeep experience with Node.js, React, and modern frontend architectureNative app development expertise in Swift/SwiftUI (iOS) and Kotlin/Jetpack Compose (Android)Backend experience with Node.js, Python, FastAPI, Next.js, LangChain, or similar frameworksFamiliarity with cloud platforms (AWS or GCP), containerization, IaC (Terraform/CDK), and continuous delivery pipelinesStrong product instincts and a passion for building clean, performant cross-platform appsDemonstrated success shipping AI-first features or applications powered by LLMs or agent frameworksBonus PointsExperience using AI development tools like Claude Code, Cline, or Copilot++ in productionFamiliarity with AI/ML infrastructure and workflows, including:Model training and fine-tuning pipelines using PyTorch or JAXOn-device inference with Core ML, NNAPI, or quantized model deploymentHigh-performance systems experience with C/C++, Rust, or Go for native modules, low-latency pipelines, or WebAssemblyFamiliarity with the latest developments in AI technologies