Job Description

We are seeking an experienced UI Developer with expertise in AI-enabled agentic systems to lead the development of our advanced biological visualization layer for the Multi-Agent Visualization System. In this role, you'll bridge cutting-edge AI agent technologies with interactive visualization frameworks to create intuitive, powerful interfaces that help scientists, clinicians, and researchers understand complex biological pathways and relationships.

Key Responsibilities

• Design and implement the presentation layer for our Three-Tier agentic visualization system

• Integrate multiple visualization libraries including Cytoscape.js, GraphXR, and Neo4j Bloom

• Develop interactive interfaces that consume agent-generated visualization configurations

• Collaborate with AI engineers to optimize agent-UI communication via A2A protocols

• Create adaptive UIs that respond to user roles and preferences

• Implement real-time visualization updates based on agent feedback loops

• Develop visualization components that scale to handle large biological knowledge graphs

• Lead the UI architecture design for cross-tier agent communication patterns

• Optimize rendering performance for complex biological pathway visualizations

Required Skills & Experience

• 7+ years of professional front-end development experience

• 3+ years working with AI-enabled or agent-based systems

• Strong expertise in React and TypeScript for complex web applications

• Proven experience with one or more graph visualization libraries (Cytoscape.js, D3.js, etc.)

• Working knowledge of agent communication protocols (e.g., MCP or equivalent)

• Experience instrumenting UIs for user interaction data collection

• Proficiency with WebGL or Canvas-based rendering for performance

• Understanding of LLM-based agent architectures and capabilities

• Experience with real-time data visualization and updates

• Ability to optimize UI performance for rendering complex graphs

• Knowledge of accessibility standards for data visualization

Desired Qualifications

• Experience with biological or scientific data visualization

• Familiarity with Neo4j, GraphQL, or other graph data technologies

• Background in UX design principles for complex data visualization

• Experience with LangGraph, LangChain, or similar agent orchestration frameworks

• Knowledge of semantic web technologies and knowledge graphs

• Experience with A/B testing and user interaction analysis

• Understanding of MAPE-K feedback loops or similar adaptive systems

• Exposure to data flywheel implementation for continuous improvement

• Background in collaborative or multi-user visualization systems

Our Technology Stack

• Frontend: React, TypeScript, Cytoscape.js, GraphXR, D3.js, TailwindCSS

• Visualization: WebGL, Canvas, SVG rendering techniques

• Agent Communication: A2A protocols, MCP standardization

• Data Flow: RabbitMQ/Kafka for agent messaging

• Orchestration: LangGraph for workflow management

• Backend Integration: GraphQL, REST APIs for data access

• CI/CD: Modern development workflows with GitHub Actions

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