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Note: This project was started before my current employment as a learning exercise. I'm completing it to finish what I started, not as an indication of active job searching.

Job Search Agent

AI agent that tells you who's hiring. Give it a company name, get back open positions with links.

Built with Strands Agents and deployed to Amazon Bedrock AgentCore Runtime. Uses Tavily web search to find career pages and job boards.

Quick Start

# Get a Tavily API key (free tier available)
# Sign up at https://tavily.com

# Run locally
cd agent
echo "TAVILY_API_KEY=your_key_here" > .env
python src/agentcore_app.py

# In another terminal window
curl -X POST http://localhost:8080/invocations \
  -H "Content-Type: application/json" \
  -d '{"company": "Stripe", "title": "Engineer"}'

# Put Tavily API key in SSM Parameter Store
aws ssm put-parameter \
  --name "/job-search-agent/tavily-api-key" \
  --value "tvly-xxxxx" \
  --type SecureString

# Deploy to AWS
cd cdk && npm run cdk:deploy

That's it. The agent fetches live job postings, extracts titles and links, and returns structured results.

What It Does

  • Takes company name (+ optional title/location filters)
  • Searches career pages and job boards via Tavily API
  • Returns hiring status with position details
  • Optionally sends email alerts via SNS when companies are hiring
  • Scheduled searches via EventBridge for automated monitoring
  • Tracks when jobs were posted

Example: {"company": "Stripe", "title": "Engineer"} → List of engineering roles at Stripe with application links.

Project Structure

  • agent/ - Python agent code and local development
  • cdk/ - AWS infrastructure and deployment
  • DEPLOYMENT.md - Full deployment guide

Next Steps

Want to run it locally? See agent/README.md

Want to see how the AWS infra is set up? See cdk/README.md

Ready to deploy to AWS? See DEPLOYMENT.md

Want a more detailed write up of the background of how this came to be? Read this blogpost

About

An agent built with Strands deployed to Amazon Bedrock AgentCore to aid in the job hunt

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