Front End Developer (P-139)

Smash CR•Englewood, CO

30d•Remote

About The Position

You will design and build a production-grade, highly intuitive frontend that simplifies complex AI-driven contract validation workflows. This role focuses on translating sophisticated financial, contractual, and agentic AI logic into explainable, user-friendly interfaces that enable fast decision-making, transparency, and overpayment prevention.

Requirements

Strong experience building complex frontend applications using React and TypeScript.
Proven expertise in UI/UX design principles, including information architecture and progressive disclosure.
Hands-on experience with responsive and mobile-first design (CSS Grid, Flexbox).
Experience implementing advanced data visualizations using D3.js, Chart.js, or similar libraries.
Proficiency with state management patterns (Redux, Context API) for large-scale applications.
Experience consuming REST and GraphQL APIs and handling real-time data updates.
Strong attention to accessibility standards (WCAG) and usability best practices.
Ability to translate complex business logic into intuitive, user-centered interfaces.
Strong collaboration and communication skills in cross-functional, fast-paced environments.

Nice To Haves

Experience designing explainable AI or human–AI interaction (HAI) interfaces.
Background working with financial, contract management, or compliance systems.
Familiarity with Figma or Sketch for high-fidelity prototyping.
Experience with analytics-heavy dashboards or workflow-driven enterprise applications.
Exposure to AI-driven products, agentic workflows, or RAG-based systems.

Responsibilities

Design and implement UI v9.0 with full schema coverage across 245+ contract and validation fields.
Build complex, multi-tab contract detail views using progressive disclosure patterns.
Develop three-panel exception comparison views (Contract Expected vs Invoice Received vs Resolution).
Implement real-time dashboards, including prevented overpayment counters and validation queues.
Visualize agentic AI reasoning, confidence scores, and extraction quality indicators.
Create explainable AI interfaces that clearly answer “why” an exception was flagged.
Design and implement feedback loops to allow users to correct or validate AI findings.
Build advanced data visualizations for compliance trends, vendor performance, and pattern detection.
Implement priority-based validation queues using impact, urgency, and confidence scoring.
Develop mobile-responsive experiences with bottom-tab navigation for approvals on the go.
Integrate frontend components with REST and GraphQL APIs and real-time updates via WebSockets.
Collaborate closely with product, design, and backend teams to deliver scalable, high-quality UI solutions.