Senior Software Quality Engineer - AI Assurance

Sysvine Technologies Private Limited.; Chennai; On-site; INR 2,000,000 - 3,500,000; Full time

Job summary

Sysvine Technologies Private Limited in Chennai is seeking a Senior Software Quality Engineer to lead AI assurance initiatives, build scalable automation, and drive continuous testing across Web, Mobile, APIs, and AI-powered applications.

You will apply Specs-Driven Testing (SDT), AI agents, and autonomous test generation while mentoring engineers and collaborating with product teams to deliver reliable, secure software with measurable quality outcomes.

Qualifications

• Translate requirements and business intent into executable test specifications and measurable quality outcomes.
• Demonstrate expertise in AI-powered testing, SDT, and Shift-Left practices to accelerate delivery.

Responsibilities

• Design, develop, and evolve scalable automation frameworks for Web, Mobile, APIs, and AI-powered applications.
• Drive AI-Powered Testing, SDT, Automation-First, and Shift-Left practices to accelerate delivery and improve quality.
• Utilize AI coding assistants and AI agents for test generation, data creation, optimization, and self-healing automation.
• Translate business requirements into executable tests and integrate automated quality gates into CI/CD pipelines.
• Execute API, performance, accessibility, security, regression, and end-to-end testing based on risks.

Skills

Automation testing

SDT (Specs-Driven Testing)

AI-powered testing

Shift-Left testing

Test strategy

Quality ownership

Mentoring

Stakeholder management

Analysis & problem solving

Communication

Tools

JUnit

TestNG

Jenkins

GitLab CI/CD

Postman

REST Assured

GitHub Copilot

Claude

Gemini Code Assist

Axe/WAVE/Lighthouse

Job description

Senior Software Quality Engineer - AI Assurance

Hot Duties:

Build and scale next-generation products through AI-powered testing, intelligent automation, and continuous AI assurance. Demonstrate good proficiency in Automation-First and Specs-Driven Testing (SDT), transforming requirements into verifiable specifications, automated tests, and measurable quality outcomes. Apply AI agents, LLMs, MCP, autonomous test generation, and self-healing automation to accelerate engineering velocity, expand coverage, and improve release confidence across Web, Mobile, APIs, and AI-powered applications. Drive continuous evaluation, red teaming, risk-based validation, and AI governance to ensure intelligent products and autonomous workflows remain reliable, secure, resilient, and aligned with business intent.

Duties:

• Design, develop, and evolve scalable automation frameworks for Web, Mobile, APIs, and AI-powered applications
• Drive AI-Powered Testing, Specs-Driven Testing (SDT), Automation-First, and Shift-Left practices to accelerate delivery and improve quality
• Use AI coding assistants, LLMs, and AI agents for test generation, test data creation, optimization, defect analysis, and self-healing automation
• Translate business requirements and specifications into executable tests, integrating automated quality gates into CI/CD pipelines
• Execute API, performance, accessibility, security, regression, and end-to-end testing based on business and technical risks
• Drive AI Assurance through continuous evaluation, red teaming, and validation of LLMs, RAG systems, multimodal applications, and autonomous agents
• Assess AI systems for accuracy, hallucinations, bias, security, reliability, resilience, and responsible behavior
• Define quality metrics, AI trust indicators, governance controls, and release-readiness practices to enable safe and reliable AI adoption
• Collaborate with engineering, product, and client teams to manage risks, communicate outcomes, and continuously improve quality
• Mentor engineers in modern quality engineering, AI-assisted testing, and emerging AI Assurance practices

Requirements:

• Experience with JUnit, TestNG, or equivalent testing frameworks and CI/CD platforms such as Jenkins or GitLab CI/CD
• Using AI coding assistants such as Claude, Cursor, GitHub Copilot, Gemini Code Assist, or equivalent tools
• Good understanding of AI-Powered Testing, Specs-Driven Testing (SDT), Shift-Left practices, risk-based testing, and test automation strategy
• Ability to translate requirements and business intent into executable specifications, comprehensive test scenarios, and measurable quality outcomes
• Understanding of LLMs, AI agents, RAG, prompt engineering, autonomous workflows, and AI-assisted automation
• Good analytical, problem-solving, communication, and stakeholder-management skills with a focus on quality ownership
• Optional: Familiarity with API testing (Postman/REST Assured), performance testing (JMeter), accessibility testing (axe/WAVE/Lighthouse), or mobile automation
• Optional: Ability to evaluate AI outputs for accuracy, hallucinations, bias, security, reliability, and alignment with expected behavior
• Optional: Exposure to MCP, AI evaluation frameworks, red teaming, AI observability, trust measurement, responsible AI, and security or compliance governance