{"id":3251307,"url":"https://alion.io/job/nuplay-ai-quality-assurance-engineer","title":"Quality Assurance Engineer","company":{"id":47330,"name":"NuPlay AI","domain":"nuplay.ai","url":"https://alion.io/company/nuplay-ai","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","truth_index":{"grade":"B","score":75,"open_postings":5,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-30T05:48:23Z"}},"role":"QA","role_family":"QA","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Cypress","optional":false},{"name":"JavaScript","optional":false},{"name":"LLM","optional":false},{"name":"NLP","optional":false},{"name":"Postman","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"Voice Agents","optional":false},{"name":"A/B Testing","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true},{"name":"Git","optional":true}],"status":"live","first_seen_at":"2026-10-25T21:35:30Z","employer_posted_date":null,"last_verified_at":"2026-10-25T21:35:30Z","board_verified":false,"closed_at":null,"days_open":5,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":5},"description":"We are seeking a highly motivated and detail-oriented Quality Assurance (QA) Engineer to join our team. You will play a key role in ensuring the reliability, accuracy, and user experience of our conversational AI systems. This role involves testing dialogue models, integrations with NLP/LLM-based backends, and end-to-end conversational workflows across multiple platforms (chat, voice, and integrations with enterprise systems).\n\nThe core responsibilities for the job include the following:\n\nTest Planning and Strategy: \nDevelop and execute comprehensive test plans for conversational AI features, including NLP pipelines, dialogue flows, integrations, and APIs.\nDesign functional, regression, performance, and exploratory test cases specific to conversational interfaces.\n\nConversational Testing: \nValidate intent recognition, entity extraction, context handling, and multi-turn dialogue management.\nTest conversational flows for accuracy, completeness, and user experience.\nPerform scenario-based and edge-case testing to capture unexpected user inputs.\n\nAutomation and Tooling: \nBuild automated test scripts for API endpoints, dialogue flows, and ML model outputs.\nWork with frameworks like Postman, Cypress, PyTest, or custom NLP testing tools.\nContribute to CI/CD pipelines with automated regression tests.\nCollaborate with data scientists, ML engineers, and product managers to define acceptance criteria for AI-driven features.\nProvide feedback on conversational design and model performance.\nCollaborate with DevOps on load testing and monitoring production systems.\n\nQuality Advocacy: \nEnsure conversational AI products meet high standards for accuracy, robustness, fairness, and usability.\nHelp define and track KPIs (e. g., intent accuracy, response latency, conversation success rate).\n\nRequirements: \n3+ years of QA/testing experience, preferably with AI, ML, or NLP products.\nStrong understanding of API testing, automated frameworks, and scripting languages (Python, JavaScript, or similar).\nExperience testing chat agents, voice agents, or conversational interfaces is a plus.\nFamiliarity with NLP concepts: intents, entities, context, LLMs, and dialogue management frameworks (e. g., Rasa, Dialogflow, and LLM APIs).\nExperience with CI/CD pipelines and version control (Git).\nExcellent problem-solving, analytical, and communication skills.\nExposure to A/B testing and model evaluation.\nExperience with cloud platforms (AWS, GCP, Azure).\nFamiliarity with accessibility and localization testing for multilingual agents.\nSkills\nAPI, Cypress, JavaScript, Postman, PyTest, Python, QA, quality, testing","description_format":"text","description_chars":2616,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["LLM & Generative AI","Conversational AI","AI Agents"],"lifecycle":[{"event":"open","at":"2026-10-25T21:35:30Z"}],"visa":[],"liveness":{"score":89,"band":"hot","label":"Hiring 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