AI Interviewers

AI Interviews for Hiring SDE 1s

Abhishek Vijayvergiya
February 6, 2026
5 min

SDE 1 hiring is a volume challenge. You receive hundreds of applications from recent graduates and early-career developers, and your senior engineers spend hours running the same basic coding screens. This guide explains how AI interviews handle that first technical round for entry-level software development engineers, what they assess, and whether they fit your pipeline.

Can AI Actually Interview SDE 1s?

Hiring managers wonder whether AI can properly evaluate junior engineering talent. The concern makes sense. SDE 1 roles require solid fundamentals: data structures, algorithms, basic coding proficiency, and the ability to write clean, working code under time pressure.

AI interviews handle first-round SDE 1 screens well. They present coding problems that test array manipulation, string processing, and basic data structure usage. The AI runs candidate solutions against test cases and tracks how candidates approach problems. Do they clarify requirements before coding? Do they consider edge cases? These signals matter as much as correctness for junior hires.

What still needs human evaluation: culture fit, growth potential, and how candidates respond to mentorship cues. But the first coding screen, where your team asks the same fundamentals questions repeatedly, works effectively as an AI-administered assessment.

Why Use AI Interviews for SDE 1s

SDE 1 hiring creates an outsized burden on engineering teams. High application volume means your engineers run more screens for junior roles than any other level. The skills tested at this stage, basic coding, data structures, and problem decomposition, follow a consistent pattern.

Fundamentals Verification

AI interviews test whether candidates understand arrays, linked lists, hash maps, and basic sorting. Code runs against test cases with edge case coverage. You see exactly which data structures candidates reach for and whether their implementations work.

Consistent Entry-Level Bar

Every SDE 1 candidate faces the same difficulty level. No variation based on which engineer runs the screen or whether they soften questions for nervous candidates. This standardization matters most at the junior level where volume is highest.

Scale Without Burnout

Teams hiring 10-20 SDE 1s per quarter run hundreds of screens. That load falls on mid-level and senior engineers who should be building systems. AI interviews absorb the repetitive first round.

Problem-Solving Observation

The AI watches how candidates break down problems before writing code. Do they ask clarifying questions? Do they outline an approach first? For entry-level hires, process matters as much as output.

See a Sample Engineering Interview Report

Review a real Engineering Interview conducted by Fabric.

How to Design an AI Interview for SDE 1s

An effective AI interview for SDE 1 candidates focuses on fundamentals rather than advanced system design. The goal is verifying that candidates have the building blocks to grow on your team.

Data Structure Problems

Present problems requiring arrays, strings, hash maps, and basic trees. SDE 1 candidates should demonstrate they understand when to use each structure and can implement solutions correctly. Keep difficulty at easy to medium range.

Algorithm Basics

Test sorting, searching, and basic recursion. The AI observes whether candidates analyze time complexity and consider space tradeoffs, even at a basic level. Entry-level candidates who think about efficiency stand out.

Code Quality Signals

Watch for variable naming, code organization, and readability. Junior developers who write clean code from the start require less onboarding. The AI flags candidates who hardcode values or skip edge cases.

Communication Under Pressure

Ask candidates to explain their approach before and during coding. SDE 1s who articulate their reasoning clearly are easier to mentor and integrate into teams.

Interview length typically runs 30-45 minutes for SDE 1 screens. Afterwards, your team receives structured scores covering coding fundamentals, problem-solving approach, and communication.

AI Interviews for SDE 1s with Fabric

Most AI interview tools record video responses to preset questions. Fabric runs live coding interviews where SDE 1 candidates write and execute code against real test cases, matching the format of an actual first-round screen.

Live Code Execution

Fabric executes code in 20+ languages with real runtime environments. Candidates write in a browser-based IDE, run solutions, and see test results immediately. No simulated environments or syntax-only checks.

Adaptive Difficulty

When candidates solve problems quickly, the AI introduces follow-up questions about optimization or edge cases. When they struggle, it provides calibrated hints that reveal whether gaps are syntactic or conceptual. This matters for SDE 1 candidates whose skills are still developing.

Structured Scorecards

After each interview, your team receives scores for coding fundamentals, problem-solving approach, code quality, and communication. Each score includes specific evidence from the session.

Cheating Detection

Fabric monitors tab switches, paste behavior, typing patterns, and timing anomalies. Flagged interviews surface for human review with specific timestamps of concerning activity.

Get Started with AI Interviews for SDE 1s

Try a sample interview yourself or talk to our team about your hiring needs.

Frequently Asked Questions

Why should I use Fabric?

You should use Fabric because your best candidates find other opportunities in the time you reach their applications. Fabric ensures that you complete your round 1 interviews within hours of an application, while giving every candidate a fair and personalized chance at the job.

Can an AI really tell whether a candidate is a good fit for the job?

By asking smart questions, cross questions, and having in-depth two conversations, Fabric helps you find the top 10% candidates whose skills and experience is a good fit for your job. The recruiters and the interview panels then focus on only the best candidates to hire the best one amongst them.

How does Fabric detect cheating in its interviews?

Fabric takes more than 20 signals from a candidate's answer to determine if they are using an AI to answer questions. Fabric does not rely on obtrusive methods like gaze detection or app download for this purpose.

How does Fabric deal with bias in hiring?

Fabric does not evaluate candidates based on their appearance, tone of voice, facial experience, manner of speaking, etc. A candidate's evaluation is also not impacted by their race, gender, age, religion, or personal beliefs. Fabric primarily looks at candidate's knowledge and skills in the relevant subject matter. Preventing bias is hiring is one of our core values, and we routinely run human led evals to detect biases in our hiring reports.

What do candidates think about being interviewed by an AI?

Candidates love Fabric's interviews as they are conversational, available 24/7, and helps candidates complete round 1 interviews immediately.

Can candidates ask questions in a Fabric interview?

Absolutely. Fabric can help answer candidate questions related to benefits, company culture, projects, team, growth path, etc.

Can I use Fabric for both tech and non-tech jobs?

Yes! Fabric is domain agnostic and works for all job roles

How much time will it take to setup Fabric for my company?

Less than 2 minutes. All you need is a job description, and Fabric will automatically create the first draft of your resume screening and AI interview agents. You can then customize these agents if required and go live.

Try Fabric for one of your job posts