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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