Backend Developer ___ Burlingame, CA / Menlo Park, CA / Seattle, WA (Onsite) ___ Fulltime FTE

Full Stack Developer (Backend Engineer)Onsite Location: Burlingame, CA & Menlo Park, CA (on-site) and Secondary location - Seattle, WA Fulltime Permanent / FTEThe 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 technologiesWhat We Offer:A contract role building at the edge of what’s possible in AI-powered applications, across web and native platformsThe chance to co-create next-generation products inside AI Tech, alongside top-tier engineers, designers, and researchersAccess to cutting-edge models, tools, infrastructure, and internal research to ship bold, usable features fast