Front End Engineer - Angular- Dallas, TX

Photon Career Site

22h

About The Position

We are seeking a highly skilled Angular Developer to build the next generation of AI-driven user interfaces. You will be responsible for creating a seamless, high-performance frontend that allows users to collaborate with autonomous agents. Your work will focus on visualizing complex agentic workflows—such as the agent’s reasoning steps, tool-usage, and long-running autonomous tasks—using modern Angular features like Signals and RxJS to ensure a responsive, "live" experience.

Requirements

Angular Expertise: 8+years of experience with Angular (v16/17+ preferred). Strong mastery of Standalone Components, Signals, and the provideRouter/provideHttpClient patterns.
RxJS Mastery: Deep understanding of reactive programming to handle complex asynchronous data streams and event orchestration.
Modern CSS/Styling: Proficiency in Tailwind CSS or SCSS to build "Generative UI" components that can adapt their layout based on the agent's output.
State Management: Proven experience with NgRx, Akita, or Signal-based state management in enterprise-scale applications.
API Integration: Experience working with RESTful APIs and real-time streaming protocols. Familiarity with OpenAI /Anthropic API structures is a plus.
Testing: Commitment to quality through unit testing and E2E testing (Cypress )

Nice To Haves

Experience with Canvas or SVG-based visualizations to show agent decision trees or multi-agent handoffs.
Familiarity with Web Workers for handling heavy client-side processing without blocking the UI thread.
A portfolio showcasing AI-integrated products or highly interactive real-time dashboards.

Responsibilities

Real-time Streaming Interfaces: Implement robust handling for Server-Sent Events (SSE) and WebSockets to display real-time "token streaming" and agent status updates as they happen.
Complex State Management: Utilize Angular Signals or NgRx to manage the highly dynamic states of an AI agent (e.g., Idle, Planning, Fetching Data, Executing Code, Awaiting Approval).
AI Observability UI: Build intuitive dashboards that visualize "Chain-of-Thought" reasoning, allowing users to see the references, citations, and logic used by the agent to reach a conclusion.
Human-in-the-Loop (HITL) Components: Develop specialized UI components that allow users to pause, edit, or approve an agent's proposed plan before it executes.
Performance Optimization: Ensure the UI remains performant even when handling large volumes of streaming data and complex visualizations.
Collaboration with AI Engineers: Work closely with Backend and AI engineers to define JSON schemas and API contracts that support the unique needs of agentic interaction.