AI-Driven Mobile Full-Stack Engineer

IntelliPro

Sunnyvale (CA)

In loco

USD 120.000 - 150.000

Tempo pieno

6 giorni fa
Candidati tra i primi

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Descrizione del lavoro

IntelliPro is seeking a Full Stack Engineer specializing in mobile apps to build AI-powered experiences for iOS and Android. You will own features end-to-end, from UI screens to APIs and data flows, and collaborate to ship compelling growth-focused products.

Ideal candidates have 2–5 years shipping apps (React Native or Flutter), strong backend skills (TypeScript or Python), and comfort with AWS or GCP. Knowledge of LLM APIs is a plus.

Competenze

  • 2–5 years of experience building and shipping software.
  • Shipped at least one mobile app to the App Store or Google Play using React Native or Flutter (native iOS/Android welcome).
  • Backend APIs in TypeScript or Python; databases like PostgreSQL; deployed to AWS or GCP.
  • Daily use of AI coding tools with willingness to go deeper.
  • Comfort with ambiguity and autonomy; minimal hand-holding.

Mansioni

  • Build new AI-powered mobile apps end-to-end: UI, APIs, and data.
  • Turn rough ideas into prototypes, then polish apps for iOS and Android.
  • Integrate large language models (OpenAI, Anthropic, Gemini, or open-source) into the product and assess limitations.
  • Track user signals to inform what to build next.
  • Expand successful products to the web once core experience is proven.
  • Explore new AI tools and share learnings with the team.

Conoscenze

React Native
Flutter
TypeScript
Python
AI tooling
LLM APIs
Agent frameworks
React/Next.js
Mobile analytics

Strumenti

PostgreSQL
AWS
GCP

Descrizione del lavoro

IntelliPro is seeking a Full Stack Engineer specializing in mobile apps to build AI-powered experiences for iOS and Android. You will own features end-to-end, from UI screens to APIs and data flows, and collaborate to ship compelling growth-focused products.

Ideal candidates have 2–5 years shipping apps (React Native or Flutter), strong backend skills (TypeScript or Python), and comfort with AWS or GCP. Knowledge of LLM APIs is a plus.

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