AI Engineering Recruiting Workflow Agent

How Cassidy automates engineering recruiting using AI

Step 1: Trigger on new requisition or sourcing request

The Workflow activates when a new engineering role is opened in your ATS or when a recruiter submits a sourcing brief—pulling in the job description, must-have skills, and target profile criteria.

Step 2: Source and enrich candidate profiles

Cassidy searches across LinkedIn, GitHub, and your internal talent CRM to identify matching candidates, then enriches each profile with verified emails, current role details, and relevant technical signals like open-source contributions or conference talks.

Step 3: Launch personalized outreach sequences

Using the Knowledge Base for approved messaging templates and personalization cues, Cassidy generates tailored outreach referencing each candidate's specific projects, tech stack, or publications—then manages multi-step sequences with deliverability monitoring and reply intent classification.

Step 4: Screen responses and auto-schedule assessments

When candidates reply with interest, Cassidy parses their responses, scores them against your competencies rubric, and automatically invites qualified prospects to technical screens—syncing assessment invitations and results directly to your ATS.

Step 5: Coordinate interview loops and collect feedback

Cassidy handles multi-interviewer scheduling across time zones, sends interview kits with structured questions tied to your scorecards, and nudges interviewers to submit feedback—compiling everything into a debrief summary for hiring manager review.

Step 6: Sync all activity to your ATS

Every touchpoint—outreach, replies, assessment scores, interview notes, and stage changes—flows back to your ATS in real time, maintaining a clean audit trail and giving your team a single source of truth for pipeline analytics and compliance reporting.