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As a SDET focused on Agentic AI, you are a strong software engineer with deep test automation skills and a passion for quality in AI-powered systems. You will: design and build scalable Python + Playwright automation for UI, API, and end-to-end flows; test complex agentic workflows, including multi-step reasoning, tool invocation, and orchestration across multiple services; telp define testing strategies for deterministic and non-deterministic systems, and contribute best practices for LLM and Agentic AI quality across the organization; you’ll be hands-on in code, involved in design and architecture discussions, and a key voice for testability, observability, and quality.
Job Responsibility:
Design, develop, and maintain scalable automation frameworks using Playwright and Python for UI, API, and end-to-end testing
Build automated tests for Agentic AI workflows, including multi-step reasoning, tool invocation, and autonomous decision flows
Validate AI-driven systems using deterministic testing approaches, mocks, simulators, and contract testing where applicable
Develop test strategies for LLM-based features, including prompt validation, response evaluation, guardrails, and failure modes
Implement API, integration, and system-level tests across microservices and AI orchestration layers
Collaborate with AI/ML engineers to test model integrations, inference pipelines, and agent execution frameworks
Set up and maintain CI/CD pipelines using GitHub Actions, enabling fast feedback and reliable releases
Analyze test results, derive quality KPIs, and clearly communicate risks and release readiness
Provide detailed root-cause and failure analysis to accelerate defect resolution
Participate in design and architecture reviews, advocating for testability, observability, and quality-first design
Mentor junior SDETs and QA engineers, raising the bar on automation, AI testing practices, and engineering excellence
Requirements:
4+ years of experience as an SDET, Software Engineer, or Test Automation Engineer in SaaS environments
Strong programming experience in Python (preferred) and familiarity with JavaScript/TypeScript
Hands-on experience with Playwright (preferred) or modern UI automation frameworks
Solid experience testing API-first and microservices-based architectures
Practical understanding of AI/ML or LLM-based systems, including: Agentic AI concepts (agents, tools, planners, memory, orchestration), Deterministic vs non-deterministic testing strategies, Prompt-based systems and response evaluation
Experience with mocking, stubbing, and simulation to test complex integrations
Strong knowledge of REST APIs, server-side testing, and integration testing
Experience working with CI/CD pipelines, preferably GitHub Actions
Familiarity with Cloud technologies and containerized environments (Docker)
Excellent written and verbal communication skills
comfortable working across geographies
Nice to have:
Experience testing Agentic AI frameworks (e.g., LangChain, LlamaIndex, or similar concepts)
Knowledge of AI evaluation techniques (golden datasets, semantic similarity, rule-based validation, replay testing)
Experience with communication platforms, contact centers, or VoIP technologies
Experience with performance, load, and reliability testing for AI-powered systems
What we offer:
Competitive benefits and perks
Robust training program
Inclusive office environment
Vibrant environment to cultivate collaboration and connection
Exceptional culture, recognized repeatedly as a certified Great Place to Work