🤖 Looking to build your career in AI-driven quality engineering? Concentrix is hiring experienced professionals for an SDET – AI role focused on intelligent applications, Generative AI, and agent-driven systems. This opportunity is designed for software development engineers in test who combine automation expertise with an understanding of modern AI technologies.
🏢 About Concentrix
Concentrix is a global technology and services company that helps businesses improve customer experiences and transform their operations. Its work spans customer engagement, digital transformation, technology solutions, analytics, and business services across multiple industries.
As AI adoption expands, organizations increasingly need reliable ways to validate AI-powered applications, automated workflows, and intelligent assistants. Quality engineering plays an important role in ensuring that these systems behave consistently, handle unexpected inputs, protect sensitive information, and deliver useful results.
📌 Job Overview
- 🏢 Company: Concentrix
- 💼 Job Role: SDET – AI
- 🎯 Experience Required: 5+ years
- 📍 Locations: Bengaluru, Chennai, and Hyderabad
- 🧪 Primary Automation Tools: Playwright and TypeScript
- 🤖 AI Technologies: LLMs, RAG, vector databases, prompt engineering, and AI agent orchestration
- 🔌 Protocol: Model Context Protocol (MCP)
- 🐍 Programming Language: Python
- 🔄 Methodology: Agile/Scrum
- 📄 Employment Type: Full-time
💻 What Will You Do in This Role?
- 🤖 AI Application Testing: Validate intelligent applications, AI assistants, and agent-driven workflows against functional and quality expectations.
- 🧪 Automation Framework Development: Build and maintain reusable test automation using Playwright, TypeScript, and supporting tools.
- 🧠 LLM Validation: Evaluate response relevance, factual consistency, instruction following, and behavior across different prompts.
- 📚 RAG Testing: Check document retrieval quality, contextual relevance, grounded answers, and failure handling.
- 🔌 MCP and Agent Testing: Validate tool interactions, context exchange, permissions, and multi-step agent workflows.
- 🐛 Troubleshooting: Investigate failures, identify root causes, and collaborate with engineering teams to improve reliability.
🌟 Why Is This Role Good for Experienced Professionals?
- 🚀 Emerging Technology: Gain exposure to GenAI and agentic AI quality challenges.
- 🏗️ Engineering Ownership: Contribute to frameworks designed for applications with dynamic and probabilistic behavior.
- 🧠 Advanced Testing: Combine deterministic automation with AI evaluation techniques.
- 🌍 Global Collaboration: Work with teams across locations and potentially diverse technology environments.
- 📈 Career Growth: Develop skills relevant to senior SDET, AI Quality Engineer, and Quality Engineering Architect career paths.
🛠️ Skills Required
- 🎭 Playwright and TypeScript: Browser automation, locators, fixtures, assertions, API testing, parallel execution, and test reporting.
- 🐍 Python: Scripting, API integration, test utilities, data processing, and automation support.
- 🧠 LLM Fundamentals: Tokens, context windows, model limitations, hallucinations, and prompt sensitivity.
- 📚 RAG and Vector Databases: Embeddings, similarity search, retrieval quality, chunking, and grounded response evaluation.
- ✍️ Prompt Engineering: Designing test prompts, adversarial inputs, boundary cases, and repeatable evaluation datasets.
- 🔌 MCP: Understand clients, servers, tools, resources, and safe interactions between AI applications and external systems.
- 🔄 Agent Orchestration: Test multi-step workflows, tool selection, retries, state transitions, and failure recovery.
- 📊 Quality Engineering: API testing, test strategy, defect analysis, CI/CD, and Agile collaboration.
🎤 Expected Interview Rounds at Concentrix
- 1️⃣ Technical Screening: Discuss your SDET experience, automation architecture, TypeScript, Playwright, and Python.
- 2️⃣ Coding and Automation Round: Solve programming problems and demonstrate practical browser or API automation skills.
- 3️⃣ AI Testing Round: Explain LLM evaluation, hallucination testing, RAG pipelines, vector search, prompt injection, and evaluation metrics.
- 4️⃣ Framework and System Design Round: Design an automation strategy for an AI assistant, including observability, test data, evaluation criteria, and CI/CD integration.
- 5️⃣ Managerial or HR Round: Discuss project ownership, troubleshooting examples, collaboration, location preference, compensation, and joining availability.
💰 Expected Salary Range
The announcement does not specify compensation. As a broad, indicative market estimate for experienced automation and AI quality engineering roles in India, candidates might use ₹12–25 LPA as an initial comparison range, depending on their expertise, responsibilities, location, and interview performance. This is not a verified Concentrix salary band, and actual offers may fall outside this range.
📚 Preparation Tips for This Specific Role
- 🧪 Build an AI Testing Project: Create a small chatbot test suite covering functional checks, response quality, error handling, and repeatability.
- 🎭 Practise Playwright: Automate a realistic web application using TypeScript, reusable fixtures, assertions, and API requests.
- 📚 Test a RAG Pipeline: Prepare examples involving irrelevant documents, missing context, incorrect retrieval, and unsupported answers.
- 🔌 Explore MCP: Understand how an AI client invokes tools through an MCP server and how authorization and tool failures should be tested.
- 📊 Define Evaluation Metrics: Practise explaining relevance, groundedness, retrieval precision, latency, and regression tracking.
- 🛡️ Consider AI Risks: Prepare test cases for prompt injection, sensitive-data exposure, unsafe tool calls, and unexpected agent loops.
📄 Resume Tips for SDET – AI
- 🎯 Lead With Relevant Skills: Highlight Playwright, TypeScript, Python, API automation, and AI testing experience.
- 📈 Quantify Achievements: Include automation coverage, execution-time reduction, defect detection, and framework improvements where measurable.
- 🤖 Showcase AI Projects: Describe your role in testing LLMs, RAG systems, agent workflows, or evaluation pipelines.
- 🏗️ Explain Framework Design: Mention architecture, CI/CD integration, reporting, test data management, and debugging practices.
- 🔍 Demonstrate Problem-Solving: Include examples of flaky tests, difficult failures, root-cause analysis, and quality improvements.
📩 How to Apply
👉 Application Link: Click Here
🤝 Referral Tip
Want to improve your chances of getting noticed?
Connect with someone at Concentrix and request a referral—it can significantly enhance your visibility in the hiring process.
✨ Final Thoughts: This role is a promising direction for experienced SDETs who want to combine modern automation with AI quality engineering. Strengthen your Playwright and TypeScript fundamentals, build practical LLM and RAG testing examples, and prepare to explain how you would make intelligent applications more reliable, secure, and testable.
