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FullStack Developer; UX Design Burlingame/Menlo Park, CA/Seattle, WA; Onsite Fulltime
Job in
Burlingame, San Mateo County, California, 94010, USA
Listed on 2026-06-03
Listing for:
AceStack
Full Time
position Listed on 2026-06-03
Job specializations:
-
Software Development
AI Engineer, Full Stack Developer
Job Description & How to Apply Below
Role:
Full Stack Developer (UX Design)
Location(s):
- Primary:
Burlingame, CA & Menlo Park, CA (On-site - 5 days/week) - Secondary:
Seattle, WA
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/Swift
UI 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/Type Script 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
- Deep experience with Node.js, React, and modern frontend architecture
- Native app development expertise in Swift/Swift
UI (iOS) and Kotlin/Jetpack Compose (Android) - Backend experience with Node.js, Python, FastAPI, Next.js, Lang Chain, 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
- 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 Web Assembly
- Familiarity with the latest developments in AI technologies
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