AI interviews for tech companies solve a specific problem: too many engineering applicants, too few engineers with time to screen them, and a first round that varies with whoever happens to run it. This guide is for talent acquisition leads at software and SaaS companies who are deciding whether an AI first round belongs in their software engineer screening, and how to set one up so the hiring team trusts the results. We make NTRVSTA, an AI interviewing platform, so we also say where our product is the wrong pick.
Hiring in software and SaaS: what makes screening hard
The talent pool is large and uneven. O*NET OnLine, which publishes U.S. Bureau of Labor Statistics data, lists 1,717,800 people employed as Software Developers in 2025, with a median annual wage of $135,980 and growth rated "much faster than average" for 2025 to 2035. For Software Quality Assurance Analysts and Testers it lists 187,600 employed and a median of $104,300. Pay at that level attracts a wide field, so a single remote posting can pull in hundreds of resumes that look similar on paper and differ sharply in real skill.
The people best placed to judge that skill are your engineers, and every hour they spend on first-round calls is an hour away from the roadmap. Teams respond by pushing screening to recruiters with a checklist, or to a fixed coding quiz. Both have gaps. A checklist can't tell a candidate who memorized the words from one who has run the system in production. A quiz shows whether code compiles, but not whether the person can explain a tradeoff, take a hint or reason about a design they haven't seen.
Remote hiring adds two more problems. Candidates with full-time jobs want to interview in the evening, which is when your team is offline. And identity and integrity questions (proxy interviewers, scripted answers, AI tools feeding responses) now come up in most engineering hiring conversations. Our guide on detecting AI interview cheating covers what helps and what doesn't.
Roles to screen first
Start where volume is high and the first-round questions are well defined. These are the roles most software and SaaS teams can move to a structured AI first round without redesigning their whole loop.
Senior and staff roles are worth adding once the team trusts the format, but they usually need a system design conversation and more human time later in the loop. The system design interview questions page is a useful starting rubric.
How AI interviews fit software engineer screening
A live, adaptive AI first round earns its place in four situations. The first is volume: when a posting draws more qualified-looking applicants than your engineers can call, an AI interviewer can talk to every one of them instead of a recruiter picking the top twenty by keyword. The second is consistency: every candidate for a role gets the same structured topics and the same scoring rubric, which makes calibration between hiring managers easier. The third is timing: candidates can interview at 10 p.m. on a Tuesday without anyone on your side being awake. The fourth is depth: an interviewer that raises or lowers difficulty based on each answer can tell a strong mid-level engineer from a strong senior one in a way a fixed quiz can't.
The format matters more than the label. A one-way video tool records answers to fixed prompts. A coding test checks output. A live adaptive interviewer asks a follow-up when an answer is vague, offers a hint when a candidate is stuck, and then sees what they do with it. For engineering roles, that follow-up is where most of the signal lives. Our comparison of one-way and live AI interviews goes into the differences.
Keep these parts human: the final technical rounds, the team and manager match, reference checks, any decision to reject a candidate whose report is borderline, and the offer conversation. Engineers should also own the rubric. If your staff engineers don't agree with what "strong" looks like for a backend role, no tool will fix that. Write it down first, using our interview scorecard template if you need a starting point.
Compliance and fairness notes
Software companies hire across many states and countries, so the rules depend on where the job and the candidate are. If the job is tied to a New York City office, NYC Local Law 144 can apply to an AI tool that substantially assists screening. The city's FAQ says the law covers screening at any point in the process, not just the final decision. Our Local Law 144 guide explains the bias audit and notice duties. Teams hiring in Illinois should read our Illinois AI Video Interview Act guide, and teams with California or Colorado candidates should read our guides to California AI hiring rules and the Colorado AI Act. If you hire engineers in the EU, see our EU AI Act hiring guide.
Whatever tool you use, tell candidates an AI interviewer is involved, offer an accommodation path, keep a human reviewer before any rejection, and check selection rates by group over time. NTRVSTA's independent Local Law 144 bias audit is published on our compliance page. This is not legal advice.
Where NTRVSTA fits (and where it doesn't)
NTRVSTA runs a live, real-time AI interview as a video avatar or audio only. It adapts questions and difficulty to each answer, covers technical and non-technical roles, and gives hints so you can see how a candidate takes guidance. Its exam library includes Java, Python, C++, JavaScript and more, frameworks and tools like React, Angular, Node.js, AI/ML and DevOps tools, and soft skills like communication, problem-solving and leadership. System design interviews come with an interactive whiteboard. Each interview produces a score breakdown (technical skills, English proficiency, communication), video snippets of key moments and a shareable report your hiring managers can read in a few minutes. AI resume scoring ranks every resume against your job description. Pricing is public on our pricing page, and most teams are set up within a few days.
It is not the right fit for every tech team. NTRVSTA is an interview and screening layer, not an ATS, so you keep your ATS. It integrates with your ATS (Greenhouse, Lever, Workday and 60+ other HR systems). If you want human engineers to run your interviews as a service, a Karat-style service fits better. If your main need is a proctored coding test with a large question bank, look at our guide to coding assessment tools. And if a big share of your hiring is hourly support or operations staff who apply by text, conversational tools fit better: Paradox says its assistant Olivia runs chat and SMS screening and scheduling for high-volume frontline hiring, and Fountain describes itself as a frontline hiring platform. NTRVSTA is also newer and smaller than enterprise incumbents, with fewer published enterprise case studies.
Questions
Can an AI interview replace the technical phone screen?
For many teams it can replace the first technical conversation, the one that checks fundamentals and how a candidate explains their work. Keep the final technical rounds, the team match and the offer with people. Review the report and video snippets before anyone is rejected.
Should candidates be allowed to use AI coding assistants?
Decide per role and tell candidates up front. Many engineering teams use assistants every day, so a blanket ban can test the wrong thing. An interview that asks candidates to explain their reasoning and adapts follow-ups to their answers is harder to pass with pasted text than a fixed quiz.
How long should a first-round engineering interview take?
Most teams aim for 20 to 40 minutes. That is long enough for a few adaptive technical questions and one or two behavioral questions, and short enough that a candidate with a full-time job will finish it the same evening.
Does NTRVSTA cover non-engineering SaaS roles?
Yes. It covers technical and non-technical roles, so the same tool can run first rounds for product, customer success and sales, with behavioral questions that follow the STAR method and a score breakdown that includes communication.
Curious how an adaptive engineering interview feels from the candidate's side? Take a sample interview yourself, or book a 20-minute demo with our team.
