AI Job Search & Apply Agents

Navigating and validating an Agentic action on the browser, which includes sensitive action is hard. This is complicated by usage of different browser tool and agentic action. The demo will showcase a multi-agentic search and apply agent which one, searches for jobs using different criteria’s by the agent and two apply to the jobs by using specific resumes and data. Navigating browsing and form filling is not trivial for these agent - and creating a good scaffolding around it to do this, is what my demo will focus on.

Here’s what makes it interesting:
1.Multi-Agent Coordination

• A search agent that intelligently generates and evolves search queries across multiple job boards (Ashby, Greenhouse, Lever)
• An application agent that handles complex form filling while respecting existing data and validation rules
• Both agents work together to create a complete job search and application pipeline
  2.Intelligent Search Capabilities
• Dynamic query generation based on job type (SWE, PM, Research Engineer)
• Adaptive search strategies that avoid duplicate results and explore diverse job titles
• Smart scrolling and extraction that handles dynamic content loading
• Built-in retry mechanisms and error handling for robust search operations
  3.Sophisticated Form Navigation
• Context-aware form filling that considers both resume data and job requirements
• Strict validation rules to prevent overwriting existing data
• Intelligent error analysis and recovery
• Handling of complex form elements and dynamic validation
  4.Robust Error Handling and Validation
• Comprehensive error analysis system that categorizes and responds to different types of errors
• Smart retry mechanisms that adapt to different failure scenarios
• Validation systems that ensure data integrity throughout the process