AI Automation Engineer / Agentic AI Developer – Job Scraping, HR Lead Generation Automation

Project Type: End-to-End AI Automation Development Engagement: Fixed Price / Milestone-Based / Potential Long-Term Collaboration Experience Level: Expert Location: Remote Project Overview We are looking for an experienced AI Automation Engineer / Agentic AI Developer to design, develop, and deploy an intelligent, scalable automation system for our recruitment and career consulting business. Our objective is to build an AI-powered job intelligence and recruitment automation platform that can automatically discover job opportunities across multiple job portals, identify relevant HR and recruitment contacts, generate structured reports, assist with job applications, and send real-time notifications through Slack and email. We are open to cloud-based solutions, AI agents, Python automation, n8n, Make, LangChain, CrewAI, or other suitable technologies. The goal is to minimize manual effort and create a centralized system that can be managed by a single administrator. Key Responsibilities & Requirements 1. Automated Job Search & Data Collection Develop an AI-powered system capable of: Searching job opportunities based on configurable keywords, job titles, skills, locations, and experience levels. Collecting job postings from multiple platforms such as LinkedIn, Indeed, Glassdoor, ZipRecruiter, company career pages, and other relevant job portals. Running automated searches at scheduled intervals. Extracting job title, company name, location, job description, salary (if available), posting date, application link, and other relevant information. Identifying newly posted jobs and eliminating duplicates. Filtering and ranking opportunities using AI-based relevance scoring. Maintaining historical records of job postings and changes. Data collection must use authorized APIs, permitted feeds, or other compliant methods, respecting platform terms and access restrictions. 2. AI-Powered HR & Recruiter Lead Generation Build an automated workflow to: Identify hiring companies associated with relevant job postings. Discover publicly available or properly licensed professional contact information for recruiters, HR managers, talent acquisition specialists, and hiring managers. Link recruiter leads to relevant job openings. Organize leads by company, industry, location, job role, and hiring activity. Validate and deduplicate contact information where possible. Store relevant leads in a centralized CRM or database. Generate structured recruiter and company lead reports. The solution must comply with applicable privacy, data protection, and anti-spam regulations. 3. AI-Assisted Job Application Automation Develop an intelligent job application workflow capable of: Matching candidate profiles and resumes with relevant job opportunities. Using AI to evaluate job descriptions and candidate suitability. Generating tailored resumes and cover letters based on verified candidate information. Tracking applications across multiple job platforms. Pre-filling application forms where technically supported and permitted. Supporting candidate review and approval before submitting applications. Maintaining application status, submission history, and follow-up records. Preventing duplicate applications. We are particularly interested in AI agents capable of handling repetitive job application tasks while maintaining accuracy, transparency, and appropriate human approval. 4. AI Agents & Workflow Automation Design and implement a modular automation architecture, potentially including: Job Discovery Agent: Finds and collects relevant job postings. Job Matching Agent: Evaluates opportunities against candidate profiles. Recruiter Research Agent: Identifies relevant hiring contacts. Application Assistant Agent: Prepares and assists with job applications. Reporting Agent: Generates job market and recruitment reports. Notification Agent: Sends scheduled and event-based alerts. The system should support configurable workflows, error handling, monitoring, and future expansion. 5. Slack & Email Integration Integrate the automation platform with Slack and professional email services. Required functionality: Automatic Slack notifications for newly identified jobs. Daily or weekly job opportunity summaries. Notifications for relevant HR/recruiter leads. Job application status updates. Automated report delivery. Alerts for workflow failures or actions requiring approval. Dedicated Slack channels for different workflows, candidates, or job categories. 6. Centralized Database & Reporting Dashboard Create a centralized system to manage and monitor all collected data. The dashboard should provide: Total jobs discovered and newly posted jobs. Jobs filtered by keywords, location, company, and experience. AI-generated job relevance scores. Recruiter and HR contact information. Candidate-to-job matching results. Job applications submitted and pending approval. Application status and follow-up tracking. Daily, weekly, and monthly recruitment analytics. Exportable Excel, CSV, or PDF reports. We are open to using PostgreSQL, Supabase, Airtable, Google Sheets, Power BI, or other suitable solutions. 7. Cloud Deployment & Scalability The solution should: Run automatically on a scheduled basis. Be deployable on AWS, Azure, GCP, or another suitable cloud platform. Support multiple keywords, job categories, and candidate profiles. Include secure authentication and role-based access. Support workflow logs, monitoring, and failure recovery. Be cost-effective and scalable. Require minimal manual intervention. Preferred Technical Expertise Python and API integration AI Agents / Agentic AI LangChain, LangGraph, CrewAI, or similar frameworks n8n, Make, Zapier, or comparable workflow tools LLM integrations (OpenAI, Claude, Gemini, etc.) Browser automation using Playwright or Selenium where permitted Web data extraction and ETL pipelines PostgreSQL, Supabase, Airtable, or similar databases AWS, Azure, or GCP Slack API and email integrations CRM integrations Dashboard development and reporting