Agentic AI interviewers tackle early stage interviews, giving recruiters and hiring teams more time for meaningful candidate conversations
SAN FRANCISCO, Aug. 12, 2025 /PRNewswire/ — CodeSignal, the leading skills assessment and experiential learning platform, today introduces Interviewer Agents, the next evolution of its award‑winning AI Interviewer product. Powered by CodeSignal’s Skills Engine and Conversation Simulation technology, Interviewer Agents autonomously conduct role‑specific interviews, probe deeper based on each candidate’s responses, and return structured scorecards straight to any applicant‑tracking system.
“With applications at record highs, recruiters need a way to evaluate more candidates without stretching their teams thin,” said Tigran Sloyan, CEO & Co‑Founder of CodeSignal. “Interviewer Agents flip the script by carrying the repetitive load so recruiters can focus on high‑impact conversations and strategic decisions. That’s the future of hiring—humans empowered by agentic AI.”
Purpose‑built interviewer agents for every role
From Matt Thompson, the go‑to agent for high‑volume sales hiring, to Simone Clarke, who specializes in strategic product roles, each Interviewer Agent is expertly trained on the nuances of the job it assesses and knows precisely which skills and competencies to validate at every seniority level. Talent teams simply choose an agent that matches the position’s function, seniority, and interview style for an open role. Then, the Interviewer Agent handles the rest, including asking targeted questions, digging for real‑world examples, and scoring every response against research‑backed rubrics.
What is Agentic AI?
Agentic AI, powered by AI agents, takes initiative to carry out tasks from start to finish without needing step-by-step instructions. Think of it like a seasoned travel agent: you share your destination and preferences, and they handle flights, hotels, and itineraries so you can focus on the journey, not the logistics.
These intelligent assistants keep the full context of an interaction, map out multi‑step plans, adapt in real time, and know when to dig deeper or wrap up—unlike single‑turn chatbots that need constant prompting.
In this use case, Interviewer Agents run an interview, connecting with the candidate, asking tailored follow‑up questions, probing for real‑world examples, and then convert the conversation into a structured scorecard—all without a hiring manager micromanaging each step.
Why talent leaders choose Interviewer Agents
- Unlimited interview capacity: Scale instantly without adding headcount or juggling calendars.
- Fair and predictive evaluations: Provide a consistent, evidence‑based interview experience that surfaces skilled talent ready for the next stage.
- Human‑in‑the‑loop assurance: Interviewer Agents surface recommendations from first‑round screens, while your hiring team always makes the final advance/no‑advance decision—maintaining oversight and reducing compliance risk.
- Dynamic, conversational flow: Adaptive questioning keeps candidates engaged and reveals deeper insights.
- Instant, structured scorecards: Receive clear recommendations in your ATS seconds after each interview.
- 24/7 global availability: Let candidates interview when it suits them and cut days off time‑to‑hire.
Solving the interviewer capacity crunch
Interviewing remains one of the most resource‑intensive steps in hiring—especially for roles like software engineering, data science, and sales. As application volumes surge in the age of AI‑assisted job searches, Interviewer Agents give organizations the freedom to run as many interviews as needed and confidently screen a far larger pool of candidates. The result: high‑potential talent that traditional processes might miss rises to the top, every candidate enjoys a consistent experience, and recruiters regain time for strategic work. Early adopters report cutting time‑to‑fill by up to 40 percent and freeing hundreds of recruiter hours per quarter.
To see Interviewer Agents in action, book a demo at codesignal.com/demo.
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