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Qa Engineer – Agents & Ai Platform

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OptiSol Business Solutions

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Location:
India , Chennai

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

QA Engineer – Agents & AI Platform. We are looking for a QA Engineer – Agents & AI Platform to ensure the quality, reliability, and performance of our agent-building platform and domain-specific AI agents. This role combines deep exploratory testing with practical automation, including building sample workflows and demo scenarios to validate real-world use cases. The ideal candidate will be passionate about quality engineering and excited to work on modern AI-driven platforms and intelligent automation systems. Driving meaningful impact through smart, AI-powered product solutions.

Job Responsibility:

  • Agent Platform Testing & System Validation Understand product requirements and workflows across vertical agents and design end-to end test scenarios for agents, platform components, observability systems, and prompt management
  • Create and maintain comprehensive test plans, test cases, and test data for agent orchestration, prompts, and integrations
  • Build sample agents, mock tools, and demo workflows to simulate real-world scenarios and identify edge cases
  • Execute manual and automated tests including API, regression, and smoke testing for web UI, APIs, and background workflows
  • Perform basic security testing such as access control validation, data privacy checks, input validation, and misuse scenarios
  • Use logs, metrics, and traces to investigate defects and validate system behavior
  • Ensure platform reliability, performance, and quality across the testing lifecycle
  • Collaboration, Automation & Release Support Collaborate with engineers and product managers to triage issues and improve product test ability
  • Build light automation scripts for API and regression testing where applicable
  • Participate in release validation and quality sign-offs before deployments
  • Contribute to improving QA processes, testing strategies, and automation coverage
  • Maintain clear documentation of test cases, defects, and validation results

Requirements:

  • QA experience testing complex web platforms, workflow systems, or enterprise applications
  • Strong knowledge of QA methodologies, test case design, and defect lifecycle management
  • Hands-on experience with API testing tools such as Postman and exploratory testing techniques
  • Ability to build light automation scripts using Python, JavaScript, or testing frameworks for regression and API testing
  • Understanding of workflow-driven platforms or enterprise process systems
  • Awareness of security and privacy considerations, including RBAC, PHI/PII protection, and audit logging
  • Strong communication skills and a proactive mindset toward owning product quality

Nice to have:

  • Exposure to testing LLM-based or Agentic systems, including prompts, tool integrations, RAG workflows, and safety guardrails
  • Experience using observability tools (logs, metrics, traces) for debugging and validating system behavior
  • Familiarity with AI testing strategies, including prompt regression testing, golden datasets, and evaluating hallucinations or safety issues
  • Experience in Healthcare or Life Sciences domains is an added advantage
What we offer:
  • Opportunity to work on next-generation AI agent platforms and intelligent automation systems
  • Hands-on experience testing LLM-driven products and AI-powered workflows
  • A collaborative engineering culture focused on innovation, experimentation, and continuous learning
  • Competitive compensation and strong opportunities for career growth in AI and platform engineering

Additional Information:

Job Posted:
March 21, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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