About NeuIQ NeuIQ is an AI services firm that helps enterprises become AI-ready, AI-enabled, and ultimately AI-native. We focus on building the foundations required for AI to operate safely, effectively, and at scale
- grounded in a simple belief: without clean, unified, and trusted data, AI cannot deliver meaningful decisions, automation, or competitive advantage. NeuIQ’s work spans AI platforms, analytics, agentic AI, and orchestration; designed to embed intelligence directly into how businesses run. We partner with enterprises across every stage of their AI journey, helping them move from fragmented systems and isolated pilots to AI-native operating models that drive real outcomes. Role overview: The QA Analyst / Tester will play a key role in ensuring the accuracy, performance, and reliability of AI-driven data solutions, reporting dashboards, and automation products. This role requires a balance of analytical thinking, structured testing, and technical understanding of AI and data systems. Requirements

Key Responsibilities
1. Testing & UAT for AI Solutions
- Develop and execute test plans, test cases, and validation scripts for AI-driven dashboards and reporting systems.
- Participate in user acceptance testing (UAT) cycles, document issues, and track closure with development teams.
- Validate prompt responses and AI outputs for consistency, relevance, and alignment with business logic. 2. Data Quality Assurance
- Validate data accuracy, transformations, and integrity across data pipelines (SQL, APIs, cloud sources).
- Ensure dashboard metrics align with underlying source data and business KPIs.
- Perform regression and sanity checks post data refresh or model updates. 3. Automation & Process Optimization
- Support test automation and data validation processes using Python, SQL, or low-code testing tools.




- Document repeatable QA workflows and assist in building QA automation frameworks for dashboards and agents.
- Provide insights to improve data quality, system reliability, and reporting consistency. 4. Collaboration & Reporting
- Work closely with project managers, BSA, and developers to ensure smooth QA handoffs.
- Communicate QA progress, risks, and dependencies proactively.
- Maintain detailed QA documentation and UAT feedback logs. Key Skills & Experience
· 2–5 years of experience in QA, preferably with data or AI-driven products. Strong understanding of data validation, SQL querying, and dashboard testing (Power BI, Tableau, etc.). Exposure to AI/ML-based products or chat/insight generation models (OpenAI, LangChain, etc.) preferred. Experience with Jira, ClickUp, or similar tools for test case management and defect tracking. Robust analytical, documentation, and communication skills. Behavioral Competencies
· Detail-oriented and methodical with strong problem-solving mindset. Comfortable working in fast-paced agile environments. Collaborative and proactive in cross-functional discussions. Strong ownership and accountability for quality outcomes. Benefits Why NeuIQ
- Five reasons candidates choose us ​ 1. Work at the frontier, for real. No demo-ware, no pilots that die in the sandbox. You’ll ship working agents into production
- everyone anchored to a measurable business outcome a client is counting on.



Fourteen-plus client AI solutions shipped and counting. 2. Become AI-native yourself. We invest in it deliberately
- a structured AI training pathway that builds your capability, an AI hub that gives you a governed environment to build in, and an agent lab where your experiments become company assets. The transformation we sell to clients runs inside our own house first, starting with you. 3. See the whole system, not a silo. Data, platforms, and AI are engineered as one system by one team
- architects, data and AI engineers, integration and cloud specialists, designers, and QA in a single delivery model. You’ll understand how the entire climb works, from raw signal to autonomous agent
- the kind of end-to-end fluency most careers never offer. 4. Work directly with operators, not layers below them. Our leadership team averages 20+ years of experience
- entrepreneurs who have navigated multiple technology waves with a track record of customer and shareholder success
- sharpened by an advisory board of senior industry executives across the four GTM functions. Here, proximity to that judgment is daily, not annual. 5. ​Join a category being built
- not maintained. Eighteen months ago, AI-Native GTM was a sentence in a deck. Today, anchor partners are staking their reputations on it publicly. Getting in while the category is being defined means your fingerprints end up on the foundation
- and we treat Run as the destination, so what you build is what you’ll see operate, compound, and matter. Equal Opportunity Employer Statement: NeuIQ is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status

📌 Quality Analyst (India)
🏢 NeuIQ Technologies Private
📍 India