Real-Time Front-End Engineer for AI Agent Interfaces

Ellenco Estágios e Treinamentos

Culver City (CA)

Hybrid

USD 100,000 - 150,000

Full time

14 days+

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Job summary

Snail Games USA is seeking a Front-End/UI Engineer to design and build interfaces for Egofold’s AI agent systems and related tools. You will help expose complex agent state, memory, and decision workflows through intuitive UIs for developers, designers, and future end-users.

You will collaborate with Tools, AI, and Systems teams to define workflows, implement real-time data visualizations, and iterate on usability to ensure powerful systems remain understandable and controllable.

Qualifications

  • Minimum requirements: strong experience building modern UIs using frameworks like React or Vue.
  • Ability to design intuitive interfaces for complex/technical systems.
  • Experience working with real-time data or interactive systems.
  • Solid understanding of UX principles and usability.
  • Proficiency in JavaScript/TypeScript and frontend architecture.

Responsibilities

  • Design and implement user interfaces for interacting with AI agents, simulation tools, and system outputs.
  • Translate complex system state (agent reasoning, memory, perception) into clear, usable visuals.
  • Build responsive, real-time Front-End & UI components for monitoring and controlling agents.
  • Collaborate with Tools, AI, and Systems engineers to define workflows and interactions.
  • Contribute to usability decisions and iterative improvements.

Skills

React
Vue
JavaScript/TypeScript
Real-time data experience
UX principles

Job description

Snail Games USA is seeking a Front-End/UI Engineer to design and build interfaces for Egofold’s AI agent systems and related tools. You will help expose complex agent state, memory, and decision workflows through intuitive UIs for developers, designers, and future end-users.

You will collaborate with Tools, AI, and Systems teams to define workflows, implement real-time data visualizations, and iterate on usability to ensure powerful systems remain understandable and controllable.

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