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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