Hiring Intent Interpreter
Converts raw hiring data into structured intent signals -- DX, ERP, cloud, security, and more.
What it is
Job titles are the surface. Descriptions are the signal. This agent reads between the lines of job postings at scale, classifying each one into structured intent categories like cloud infrastructure, ERP modernization, cybersecurity, or AI/ML buildout.
How it works
Raw job records from LinkedIn and Naukri scrapers are passed to an LLM classification layer. The agent extracts technology mentions, functional intent categories, and seniority patterns from each description. Multiple postings from the same company are aggregated into a company-level intent profile. Output is a ranked, confidence-scored intent tag set per company, timestamped for recency tracking.
How it fits into the pipeline
Analytical core of the intent layer. Receives raw job feeds from both scrapers and produces classified signals for the Intent Signal Aggregator. Output also feeds the Multi-Channel Outreach Agent directly, informing which technology themes to reference in messaging.