FullStack Developer (UX Design) Burlingame / Menlo Park, CA

Role: Full Stack Developer (UX Design)

Location(s):

Primary: Burlingame, CA & Menlo Park, CA (On-site - 5 days/week)

Secondary: Seattle, WA

Work Type: Onsite 5 days (No remote/hybrid option)

Visa Requirements: Independent Visa holders only

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 IA (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

If interested, please share resume to