Full Stack Developer

Qualitest is looking for a Full Stack 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.

Please Note: We are looking for 3 resources as Full Stack Developer, someone who is more focused on (i) Backend Development, (ii) Mobile Development and (iii) UX Design. Based on your expertise, we will move forward with respective position.

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 Google Cloud Platform, using Docker, CI/CD, observability tooling, and IaC (Terraform or CDK).
• Rapidly prototype, iterate, and polish features in tight collaboration with product, research, and design.

Required 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 Google Cloud Platform), 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.

Preferred Qualifications:

• 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.

What We Offer:

• A role building at the edge of what s possible in AI-powered applications, across web and native platforms.
• The chance to co-create next-generation products inside AI Tech, alongside top-tier engineers, designers, and researchers.
• Access to cutting-edge models, tools, infrastructure, and internal research to ship bold, usable features fast.