This opportunity is highly exciting for fresh graduates and early-career professionals interested in:

• AI Quality Assurance
• Automation Testing
• AI Agent Testing
• Playwright & Selenium
• API Testing
• Performance Testing
• AI-driven Engineering
• Modern DevOps QA practices

If you are passionate about Artificial Intelligence, automation frameworks, modern testing methodologies, and intelligent software systems, this role could be an excellent launchpad for your QA career.

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📌 Job Overview

💼 Position

AI QA Specialist

🏢 Company

peopleHum

📍 Location

Bengaluru

💼 Employment Type

Full Time

🏢 Workplace Type

Onsite

📈 Experience Level

0–1 Year

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🤖 About the AI QA Specialist Role

This is not a traditional testing role focused only on executing test cases.

The AI QA Specialist role requires candidates to:

• Think proactively about quality
• Prevent defects early
• Collaborate deeply with developers
• Validate AI systems intelligently
• Understand non-deterministic AI outputs
• Test autonomous workflows
• Contribute to AI-first engineering environments

The company is looking for professionals who understand that:

Quality begins before development starts.

This role combines:

• QA Engineering
• Automation Testing
• AI Validation
• Performance Testing
• API Testing
• Product Thinking
• User Empathy

into one modern engineering opportunity.

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🔍 Key Responsibilities

✅ Quality Ownership Mindset

Candidates are expected to:

• Review requirements before coding begins
• Identify testing gaps early
• Prevent defects instead of only detecting them
• Improve overall quality culture within teams

The role requires engineers who believe:

• Quality is everyone’s responsibility
• Testing should begin early in the lifecycle
• Collaboration improves software reliability

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🤝 Collaboration with Development Teams

AI QA Specialists will work closely with:

• Developers
• Product teams
• Designers
• Stakeholders
• Engineering leads

Responsibilities include:

• Participating in sprint planning
• Attending Agile ceremonies
• Providing QA insights during design discussions
• Supporting release readiness

The company wants QA engineers who act as:

• Customer advocates
• Problem solvers
• Technical collaborators

rather than simply bug reporters.

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🧠 AI-Native Testing Environment

One of the biggest highlights of this role is exposure to:

• AI agents
• Agentic systems
• Non-deterministic AI outputs
• AI workflow testing
• Hallucination detection
• Guardrail validation

Candidates interested in:

• Generative AI
• Autonomous systems
• AI validation engineering
• Responsible AI testing

will find this role extremely valuable.

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💻 Technical Skills Required

✅ Automation Testing Skills

The role requires strong understanding of modern automation frameworks including:

• Selenium WebDriver
• Playwright
• TestNG
• JUnit

Candidates should be comfortable with:

• UI automation
• End-to-end testing
• Regression testing
• Test framework design

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🔌 API Testing Knowledge

Strong API testing skills are mandatory.

Tools and technologies include:

• REST Assured
• Postman
• API validation
• Microservices testing

This is important because the platform is built using:

• Microservices
• AI-integrated services
• Distributed workflows

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⚡ Performance Testing Skills

The role also involves performance testing exposure using:

• Apache JMeter
• SLA validation
• Throughput analysis
• Bottleneck detection

This provides candidates exposure to enterprise-grade system validation.

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👨‍💻 Programming Skills

Required:

• Java

Added Advantage:

• Python
• TypeScript
• JavaScript

Programming knowledge helps in:

• Automation scripting
• Test utility creation
• AI testing workflows
• API validation

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🤖 AI Testing Knowledge

A major differentiator for this role is AI-focused testing exposure.

Candidates with understanding of:

• LLMs (Large Language Models)
• AI agents
• Hallucination detection
• AI API testing
• Guardrail testing
• Non-deterministic AI systems

will have a significant advantage.

This makes the role highly future-focused compared to traditional QA positions.

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⚙️ DevOps & CI/CD Exposure

The company values professionals familiar with:

• Jenkins
• GitLab CI/CD
• Docker
• Containers
• Stable test environments

Candidates may also gain exposure to:

• Event-driven systems
• Kafka testing
• Modern deployment pipelines
• Shift-left quality engineering

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🚀 AI-Assisted Engineering Tools

One unique aspect of this role is exposure to modern AI development tools like:

• Claude Code
• GitHub Copilot
• Cursor
• Cody

These tools help accelerate:

• Automation scripting
• Debugging
• Test generation
• Productivity improvements

This provides candidates practical experience in AI-assisted engineering workflows.

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📚 Additional Skills That Add Value

Candidates with exposure to the following may stand out:

• Cucumber/Gherkin
• Robot Framework
• OWASP ZAP
• Axe-core/WCAG validation
• Observability-driven testing
• Kubernetes environments
• Docker-backed testing setups

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🎯 Who Should Apply?

This opportunity is ideal for:

• Freshers interested in QA automation
• Early-career automation engineers
• AI enthusiasts
• Computer Science graduates
• Software testing professionals
• Playwright/Selenium learners
• API testing enthusiasts
• Candidates interested in AI product validation

Professionals passionate about:

• AI systems
• Product quality
• Automation frameworks
• Modern engineering
• Continuous learning

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📩 How to Apply

Ready to take the next step in your career?

👉 Application Link: Click Here

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📌 Final Thoughts

The AI QA Specialist opportunity at peopleHum is an excellent career opportunity for freshers and early-career professionals who want to build expertise in next-generation software quality engineering.

Unlike traditional QA roles, this position offers exposure to:

• AI system validation
• Intelligent automation
• Agentic workflows
• Modern DevOps practices
• AI-assisted engineering
• Performance and API testing

As companies increasingly adopt AI-powered systems, professionals with expertise in AI Quality Assurance will become highly valuable across the technology industry.

If you are passionate about:

• Automation testing
• Artificial Intelligence
• Product quality
• Modern engineering practices
• Continuous learning

then this role could be the perfect opportunity to begin your journey into the future of AI-driven Quality Engineering.

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