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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
  
  

• 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
  
  

• 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
  
  

• 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

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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