TECHNICAL HIRING

HIRE TOP
ENGINEERS.

Hire Skilled Developers Faster — With AI Screening & Real Skill Validation.

Resumes don't prove technical ability. GitHub links can be misleading. Interviews are inconsistent. Cheating in online tests is common.

HireNext gives engineering teams a structured, secure, AI-powered technical hiring platform — from screening to final interview.

AI Resume ScreeningCoding AssessmentsAuto-Scoring360° ProctoringStructured InterviewsEngineering Pipeline

No Credit Card Required • Free to Start

AI Resume ScreeningCoding Assessments360° ProctoringAuto-ScoringSystem DesignAI Resume ScreeningCoding Assessments360° ProctoringAuto-Scoring
THE PROBLEM

Why Technical Hiring Fails at Scale.

Technical hiring requires objective validation — not gut feel or inconsistent interviews.

Companies struggle with:

  • Fake resumes with overstated skills
  • Inconsistent coding interviews
  • Manual resume filtering at scale
  • Cheating in remote assessments
  • Lack of standardized evaluation
  • No structured engineering pipeline

HireNext validates real skills:

  • AI scores resumes for tech stack fit
  • Built-in coding & database assessments
  • AI-evaluated system design answers
  • Advanced proctoring prevents cheating
  • Structured engineering interview pipeline
  • Standardized scorecards across panels

"Hire based on skills — not assumptions."

CORE FEATURES FOR TECHNICAL HIRING

Built for Engineering Teams.
Validated by Real Skills.

Feature 01

AI Resume Screening for Technical Roles

Stop Manually Reading 500 Resumes

Instantly analyze programming languages, framework experience, tech stack relevance, project complexity, and experience level alignment. AI scores candidates 0–100 and highlights strengths & gaps.

  • Programming language match
  • Framework & tech stack relevance
  • Project complexity analysis
  • Experience level alignment
AS
Arjun SharmaTop Match
Senior Backend Engineer
Node.jsAWSPostgreSQLRedis
96
/ 100
PM
Priya MehtaStrong
Full Stack Developer
ReactPythonDockerGCP
88
/ 100
RV
Rahul VermaGood
Backend Developer
JavaSpringMySQL
71
/ 100
512 resumes processed↓ 80% screening time saved
coding_challenge.py — Candidate #2041
Proctored
# Challenge: Two Sum — Find indices of two numbers that add to target
def two_sum(nums, target):
seen =
for i, num in enumerate(nums):
complement = target - num
if complement in seen:
return [seen[complement], i]
seen[num] = i
All 8 test cases passed
Time complexity: O(n) · Space: O(n)
Auto-scored: 97/100
Time: 12:34Language: PythonTab switches: 0
Feature 02

Built-In Coding Assessments

Auto-Evaluated. No Manual Review.

Evaluate real programming ability with coding challenges, live coding tests, database queries, algorithm problems, backend & frontend tasks, and practical project submissions — all auto-scored with detailed breakdown.

  • Coding challenges & algorithm problems
  • Live coding tests
  • Database queries (SQL/NoSQL)
  • Backend & frontend tasks
  • Practical project submissions
Feature 03

AI-Evaluated Technical Responses

Beyond MCQs — Real Engineering Depth

Go beyond multiple choice. AI evaluates system design explanations, architecture reasoning, problem-solving approach, and debugging explanations — assessing quality, structure, and technical depth.

  • System design explanations
  • Architecture reasoning
  • Problem-solving approach
  • Debugging explanations
AI Evaluation Report
System Design Question · Arjun Sharma
AI Scored
Question

"Design a URL shortener service that handles 100M requests/day. Explain your architecture choices."

Candidate Response (excerpt)

"I'd use a distributed system with Redis for caching, consistent hashing for load balancing, and a base62 encoding scheme for URL generation. For 100M req/day, we need ~1,157 RPS..."

Technical Accuracy9/10
Architecture Depth8/10
Scalability Thinking9/10
Communication Clarity7/10
Overall AI Score33 / 40
Proctoring Dashboard — Remote Coding Test
LIVE
Front Camera
Face ✓
coding_challenge.py
def two_sum(nums...):
Screen
Face DetectedActive
Tab Switches0 detected
Mobile DeviceNot detected
Typing PlaybackRecording
Dual CameraBoth active
Assessment integrity100% verified ✓
Feature 04

Advanced Proctoring for Remote Technical Hiring

Ensure Authenticity in Remote Coding Tests

Remote hiring increases the risk of cheating. HireNext's 360° proctoring ensures every coding assessment is genuine — automatically, without manual supervision.

  • Face tracking
  • Tab switching detection
  • Mobile detection
  • Typing playback
  • Dual camera monitoring
  • 360° proctoring alerts
Feature 05

Structured Engineering Interview Pipeline

Keep Hiring Structured Across Engineering Teams

Technical round tracking, panel interview scheduling, Zoom integration, recorded interviews, shared engineering feedback, and structured scorecards — all in one place.

  • Technical round tracking
  • Panel interview scheduling
  • Zoom integration
  • Recorded interviews
  • Shared engineering feedback
  • Structured scorecards
Arjun Sharma — Senior Backend Engineer
Engineering pipeline · 3 rounds
Final Round
AI Screen
Coding Test
Tech Interview
4
Final
EM
Eng Manager2h ago9/10

Excellent system design. Handled distributed systems questions confidently. Strong hire.

SR
Senior Dev1h ago8/10

Code quality is great. Optimized the two-sum in O(n). Clean, readable code.

96/100
AI Score
97/100
Coding
8.5/10
Panel Avg
IDEAL FOR

Built for Every Technical Hiring Role.

Primary Roles

Software & Backend Engineers

Evaluate full stack, backend, and frontend developers with coding challenges, system design questions, and AI resume screening for tech stack fit.

Software DevelopersBackend EngineersFrontend EngineersFull Stack Developers
Tech Stack Coverage
Python94%
JavaScript91%
Java88%
Go85%
TypeScript90%
Rust82%
Infrastructure Roles

DevOps & Data Engineers

Assess infrastructure knowledge, CI/CD pipelines, cloud architecture, and data engineering skills with specialized assessments.

DevOps EngineersData EngineersCloud ArchitectsSRE
Specialized Roles

QA, AI/ML & Database Engineers

Specialized assessments for QA automation, machine learning models, and database administration with role-specific evaluation criteria.

QA EngineersAI/ML EngineersDatabase AdminsData Scientists
VS TRADITIONAL PROCESS

HireNext vs Traditional Technical Hiring

Hire based on skills — not assumptions.

Challenge
Traditional Process
HireNext
Resume Screening
Manual
AI-powered
Skill Validation
Interview-only
Structured Assessments
Coding Evaluation
Manual review
Auto-scored
Cheating Detection
Minimal
Advanced Proctoring
Interview Tracking
Scattered
Centralized ATS
HOW IT WORKS

How Technical Hiring Works
with HireNext.

01

Create Technical Role

Add skills, experience level, tech stack, and evaluation criteria for the role.

02

Attach Coding & Skill Assessments

Select from multiple question types — coding, MCQ, descriptive, video.

03Hero Step

AI Screening + Auto Evaluation

Instant candidate ranking. AI scores resumes and assessments simultaneously — no manual evaluation needed.

AI ScoringAuto-RankProctored
04

Conduct Structured Interviews

Review resume, assessment, and proctoring data in one screen. Make confident decisions.

End-to-end technical hiring flow
RESULTS

RESULTS ENGINEERING
TEAMS SEE.

Engineering teams using HireNext hire faster, reduce false skill claims, and build stronger technical teams.

Start Hiring Engineers
70%
Faster Technical Hiring
50–70% reduction in time-to-hire for engineering roles
Code Quality Hires
Improved quality of engineering hires through real skill validation
False Skill Claims
Reduced overstated skills with structured coding assessments
Hiring Bias
Standardized evaluation across all engineering panels
ENGINEERING TEAMS LOVE US

TECH TEAMS THAT
HIRE SMARTER.

G2
4.9 · 320+ reviews
CA
4.8 · 180+ reviews
G2

"The coding assessments are exactly what we needed. Candidates are evaluated on real problems — not whiteboard theory. Our false positive rate dropped to near zero."

TN
Tom Nguyen
Engineering Manager · FinTech Co
Capterra

"We used to spend 20 hours per hire on technical screening. Now it takes 2. The auto-scoring is surprisingly accurate — it catches things human reviewers miss."

EK
Emma Klein
CTO · DevStartup
G2

"The proctoring gave us confidence that assessments are genuine. AI-evaluated system design answers saved our senior engineers hours of manual review every week."

RO
Raj Okonkwo
Head of Engineering · ScaleTech
FAQ

GOT QUESTIONS?
WE GOT ANSWERS.

GET STARTED

READY TO HIREBETTER ENGINEERS?

Join engineering teams that use HireNext to validate real skills, eliminate fake resumes, and build stronger technical teams — faster.

No Credit Card Required • Free to Start