Front End Engineer - Angular, Dallas, TX

Photon•Dallas, TX

16h•$35,000 - $123,000•Onsite

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

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

Implement robust handling for Server-Sent Events (SSE) and WebSockets to display real-time "token streaming" and agent status updates as they happen.
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).
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.
Develop specialized UI components that allow users to pause, edit, or approve an agent's proposed plan before it executes.
Ensure the UI remains performant even when handling large volumes of streaming data and complex visualizations.
Work closely with Backend and AI engineers to define JSON schemas and API contracts that support the unique needs of agentic interaction.