Full Stack Developer (Backend Engineer)-5

Job Type: Full Time

Job Category: IT

Job Description

Role: Full Stack Developer (Backend Engineer)

Location: Burlingame, CA & Menlo Park, CA (on-site) and Secondary location - Seattle, WA

FTE Only

Exp: 8+ Years

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

Required Skills

DevOps Engineer Senior Email Security Engineer