60% Faster Time-to-Interview: Transforming Hiring with AI Agents with LangChain
From the video description
Tracy He and Shang Liu from LinkedIn's hiring team walk through how they built a hiring agent that cuts time-to-interview by 60% for small businesses — from the architecture evolution (static workflows to LangChain chains to a LangGraph central planner with a plan-execute-replan loop) to the platform infrastructure (conversational memory, experiential memory, and skill registration on LinkedIn's agent platform). They explain why LinkedIn chose LangGraph over 89 evaluated frameworks, and then share two hard-won lessons: why the LangGraph interrupt primitive didn't fit their use case and how they built a stateless, context-driven human-in-the-loop instead, and how harness engineering (context…
Topics
Sources
Video by LangChain, played through YouTube.
- Indie Picks
Data and selection notes
Indie Picks uses video metadata for classification. The description above is an uploader excerpt, not an independent review.
Indie Picks: Independently collected SaaS and AI product videos, organized by a founder handbook. Topics and relevance are metadata-indexed; full-video editorial review has not been completed. Descriptions are uploader excerpts where available.
Views, duration and playback status refresh separately from the published catalog. When an update fails, existing data remains visible.
Selection checks
- SaaS & AI candidates: Matches the configured criteria
- Editor-approved picks: Editorial review is required