🚀Referral Opportunity | Senior QA Testing Engineer Hiring | AI & LLM Testing Specialist | 3–6 Years |

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The rapid rise of Artificial Intelligence and Large Language Models (LLMs) has transformed the software industry, creating an entirely new category of quality engineering roles. Organizations are increasingly looking for skilled QA professionals who can validate AI-powered applications, test intelligent agents, and ensure reliable user experiences across complex AI systems.

A fantastic opportunity is now open for experienced testing professionals to join a growing technology team as a Senior QA Testing Engineer in Bangalore. If you have a strong background in Manual Testing and are passionate about AI-driven applications, LLM platforms, intelligent agents, and advanced quality assurance practices, this role could be the perfect next step in your career.

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📌 Job Overview

🔹 Position: Senior QA Testing Engineer
🔹 Experience: 3–6 Years
🔹 Location: Bangalore, India
🔹 Work Model: Hybrid (3 Days Office, 2 Days Work From Home)
🔹 Open Positions: 2–3
🔹 Employment Type: Full-Time
🔹 Domain: Artificial Intelligence & Large Language Models (LLMs)

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🎯 Role Overview

As a Senior QA Testing Engineer, you will play a crucial role in validating AI-driven applications and ensuring that Large Language Models perform accurately across various business scenarios.

You will be responsible for designing test strategies, executing manual testing activities, validating AI agents, analyzing responses, and identifying areas for quality improvement.

The role demands strong analytical thinking, exceptional attention to detail, and the ability to understand complex user interactions with AI systems.

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💼 Key Responsibilities

🤖 AI & LLM Application Testing

One of the primary responsibilities of this role is ensuring the quality of AI-powered applications.

You will:

✅ Perform manual testing of AI and LLM-based products
✅ Validate model responses across multiple use cases
✅ Assess consistency and reliability of AI outputs
✅ Identify hallucinations and inaccurate responses
✅ Verify contextual understanding and response relevance
✅ Evaluate AI behavior under different user scenarios

🧠 AI Agent Validation

Modern AI applications often rely on autonomous agents capable of performing tasks, making decisions, and interacting with users.

You will:

✅ Validate AI agent workflows
✅ Test agent decision-making logic
✅ Verify task execution accuracy
✅ Evaluate multi-step agent interactions
✅ Assess reliability across different business scenarios

👤 Persona-Based Testing

Persona testing is becoming increasingly important in AI systems where responses must adapt based on user roles and behavioral contexts.

Responsibilities include:

✅ Testing different user personas
✅ Validating role-based interactions
✅ Assessing contextual response behavior
✅ Verifying personalized user experiences
✅ Ensuring consistency across persona-driven workflows

📋 Test Planning & Execution

Quality engineering begins with effective planning.

You will:

✅ Design comprehensive test strategies
✅ Create detailed test scenarios
✅ Develop structured test cases
✅ Execute end-to-end testing activities
✅ Ensure complete requirement coverage

🐞 Defect Management

An important part of the role involves identifying and documenting quality issues.

Responsibilities include:

✅ Identifying defects and inconsistencies
✅ Logging detailed bug reports
✅ Tracking issues through resolution
✅ Collaborating with development teams
✅ Conducting retesting and validation

🤝 Cross-Functional Collaboration

You will work closely with multiple teams to ensure successful product delivery.

Collaborate with:

✅ Developers
✅ Product Managers
✅ AI Engineers
✅ Business Stakeholders
✅ UX Teams

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🛠️ Required Skills

Manual Testing Expertise

Candidates should possess strong experience in:

✅ Functional Testing
✅ Regression Testing
✅ System Testing
✅ End-to-End Testing
✅ Exploratory Testing
✅ User Acceptance Testing

AI & LLM Testing Experience

The ideal candidate should have exposure to:

✅ AI-powered applications
✅ Large Language Models (LLMs)
✅ Prompt validation
✅ Response evaluation
✅ Conversational AI testing
✅ Generative AI systems

Test Agent Validation

Hands-on experience in:

✅ Agent behavior testing
✅ Workflow validation
✅ Multi-step task execution testing
✅ Decision path verification

Persona Validation Testing

Strong understanding of:

✅ User personas
✅ Role-based interactions
✅ Context-aware testing
✅ Behavioral validation

Communication & Documentation

Strong communication skills are critical for success.

Candidates should demonstrate:

✅ Clear bug reporting skills
✅ Effective documentation practices
✅ Strong stakeholder communication
✅ Requirement analysis capabilities

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📩 How to Apply

If you have experience in QA testing and are excited about working with AI and LLM-based applications, this opportunity could be an excellent fit.

📧 Send your updated resume to:

shradhanjali@enfycon.com

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🎯 Final Thoughts

Artificial Intelligence is reshaping the future of software development, and quality assurance is becoming more important than ever. Organizations need experienced QA professionals who can validate AI systems, assess intelligent agents, perform persona-based testing, and ensure reliable user experiences.

If you have 3–6 years of Manual Testing experience, exposure to AI/LLM applications, and a passion for delivering high-quality software, this Senior QA Testing Engineer opportunity in Bangalore offers an exciting chance to build a specialized and future-ready career.

🚀 Apply today and become part of the next generation of AI Quality Engineering professionals!

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