linkedin-job-search

LinkedIn Job Search

Search for LinkedIn jobs and retrieve detailed metadata using the LinkedIn MCP server.

Workflow

Step 1: Gather Search Parameters

Extract from $ARGUMENTS or use defaults:

• keywords: Job title or keywords (default: "AI Engineer or ML Engineer or Principal Research Engineer")
• location: City or region (default: "San Francisco, CA")
• distance: Search radius in miles (default: 25; valid: 10, 25, 35, 50, 75, 100)
• limit: Number of jobs to retrieve (default: 1; max: 10 for exploration, 20 for query)

If the user provides search terms in $ARGUMENTS, parse them naturally (e.g., "ML Engineer in New York" → keywords="ML Engineer", location="New York"). Otherwise, use the defaults above.

Step 2: Search for Jobs

Choose the appropriate tool:

For quick exploration (live scraping, 1-10 recent jobs):

results = explore_latest_jobs(
    keywords=keywords,
    location=location,
    distance=distance,
    limit=limit  # default: 1, max: 10
)

For database queries (instant, cached jobs with filters):

results = query_jobs(
    keywords=keywords,
    location=location,
    remote_only=remote_only,
    visa_sponsorship=visa_sponsorship,
    limit=limit  # default: 20
)

Both return full job metadata including description insights.

See references/tool-mapping.md for full tool documentation and optional filter parameters.

Step 3: Present Results

Display jobs in a scannable format:

| # | Job Title | Company | Location | Posted | Remote | Visa |
|---|-----------|---------|----------|--------|--------|------|
| 1 | ML Engineer | Acme Corp | SF, CA | 2 days ago | ✓ | ✓ |

For each job, show:

• Core: title, company, location, posted date
• Decision-making: salary range, remote eligibility, visa sponsorship, applicants
• Description insights (if available): summary, key requirements, responsibilities
• Metadata (if requested): job URL, seniority level, employment type