Job Description

Company Description

Radius is a tech-driven brokerage firm dedicated to empowering real estate professionals with tools and resources to grow their brands and optimize profitability. Offering services like networking, branding, marketing solutions, and end-to-end client support, Radius helps agents save time and money while expanding their businesses. Established in 2015, Radius benefits from the support of industry leaders, including the founders of Trulia, Zillow, and Roofstock. For more details, visit https://www.radiusagent.com/.

Role Description

This is a full-time, on-site role in Bengaluru for a QA Engineer – AI & Automation. You will be responsible for ensuring the quality of both traditional applications (web & mobile) and AI-driven features across the Radius platform.

This role goes beyond standard QA—you will test LLM-powered features, AI automations, voice workflows, and intelligent systems, ensuring they are accurate, reliable, and safe for real-world usage.

You will work closely with engineering, product, and customer teams to triage complex issues, validate AI behavior, and build scalable test strategies.

Responsibilities:

Functional & AI Testing:

Perform comprehensive black-box testing for web and mobile applications
Validate AI-powered features, including:
Chatbots & auto-replies
AI-generated summaries & recommendations
Workflow automations
Evaluate AI outputs for:
Accuracy, relevance, and consistency
Hallucinations and edge cases
Tone, safety, and bias

Test Strategy & Design:

Develop test plans and strategies for both deterministic and AI-driven systems
Create prompt-based test scenarios and AI evaluation datasets

Automation & Frameworks:

Design, develop, and maintain automation frameworks using:
Playwright
Automate:
End-to-end user flows (web & mobile)
API workflows and AI responses
Regression suites for AI features
Integrate automation into CI/CD pipelines

API, DB & System Testing:

Perform API testing using tools like Postman
Validate backend systems using SQL (DB testing)
Ensure data integrity across AI pipelines and workflows

Voice & Conversational Testing:

Test AI voice and messaging features (e.g., SMS, calling workflows)
Validate:
Speech-to-text accuracy
Intent recognition
Multi-turn conversations
Work with tools like Twilio

Performance, Analytics & Debugging

Perform performance, scalability, and security testing
Troubleshoot issues using:
Analytics data
Crash reports
User-reported errors
Investigate AI-specific issues like:
Inconsistent responses
Prompt failures

Qualifications

Strong skills in Quality Control, Quality Assurance, and Quality Management
Familiarity with Good Manufacturing Practices (GMP) and ability to ensure compliance
Experience with Quality Auditing and maintaining quality standards
Analytical mindset with excellent problem-solving and attention to detail
Bachelor’s degree in a relevant field such as Computer Science, Engineering, or Quality Management
Experience working with AI systems or software development is an advantage
Strong collaboration and communication skills to work effectively with diverse teams