# AI System Quality Assurance Engineer – Data & Agentic AI at ChiStats

Canonical: https://panihq.com/jobs/ai-system-quality-assurance-engineer-data-agentic-ai-at-chistats-pune-maharashtra-d07e3

AI System Quality Assurance Engineer – Data & Agentic AI is a AI / ML role at ChiStats (Pune, Maharashtra). PANI surfaced this listing from a Job board post by Rohit BARAHATE. The listing shows pay as ₹8 LPA – ₹14 LPA. PANI does not take the application. You apply at the employer or the original poster.

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## From the original post

Artificial Intelligence is transforming software testing, and here's your chance to be part of that revolution. ChiStats is hiring AI System Quality Assurance Engineers – Data & Agentic AI for its Pune office. If you have 1–3 years of experience in Automation Testing, API Testing, Data Validation, Integration Testing, Migration Testing, and AI-driven Testing, this role offers a unique opportunity to work on cutting-edge Agentic AI systems used in real-world insurance applications.
Unlike traditional QA positions, this role focuses on validating AI-generated outputs, data integrity, intelligent workflows, APIs, business rules, and AI agent decision-making. If you want to build expertise in one of the fastest-growing domains in Quality Engineering, this opportunity deserves your attention.
Job Details
Company: ChiStats
Position: AI System Quality Assurance Engineer – Data & Agentic AI
Location: Pune, Maharashtra
Work Mode: Full-Time (Office)
Experience: 1–3 Years
Interview Mode: Face-to-Face at Pune Office
Open Positions: 2
Why This Role Is Great for Experienced QA Professionals
Very few QA opportunities today provide direct exposure to Agentic AI, making this role especially valuable.
Key Career Benefits
Gain practical experience testing AI and LLM-powered systems.
Work extensively on enterprise data validation and migration testing.
Validate intelligent agent workflows and AI decisions.
Collaborate directly with US-based Product and Engineering teams.
Build expertise in one of the fastest-growing AI quality domains.
Excellent pathway toward AI QA Engineer, AI Test Architect, or AI Validation Specialist roles.
Learn real-world AI guardrails, hallucination detection, and AI evaluation techniques.
As AI adoption accelerates across industries, professionals with AI testing expertise are expected to remain in exceptionally high demand.
Key Responsibilities
You'll contribute across multiple quality engineering areas, including:
Validate AI-generated insurance applications.
Test Agentic AI workflows.
Perform API and Integration Testing.
Validate complex data migrations.
Compare source-to-target datasets.
Verify business rule execution.
Validate AI guardrails.
Execute regression and migration testing.
Verify JSON payloads and API responses.
Investigate AI output inconsistencies.
Build data validation scripts.
Communicate quality risks to global stakeholders.
Skills Required
Besides the official requirements, recruiters generally value experience in:
Automation Testing
Manual Testing
API Testing
Integration Testing
Migration Testing
Data Validation
JSON
REST APIs
Postman
SQL
Functional Testing
Regression Testing
AI Testing
LLM Validation
Agentic AI
Prompt Validation
Data Mapping
Schema Validation
Data Transformation
Business Rule Validation
Guardrail Testing
Root Cause Analysis
JIRA
Agile Scrum
Defect Management
Analytical Thinking
Communication Skills
Expected Salary Range
ChiStats has not officially disclosed compensation.
Based on current
AI QA hiring trends:
1–3
Years Experience: ₹8 LPA – ₹14 LPA
Candidates with prior AI testing, migration testing, or strong API testing experience may receive higher offers depending on technical expertise.
Expected Interview Rounds
Since this is an AI-focused QA role, the interview process will likely evaluate both QA fundamentals and analytical reasoning.
Round 1 – Resume Screening
Recruiters generally assess:
QA experience.
API Testing projects.
Data validation exposure.
Communication skills.
Round 2 – Face-to-Face Technical Interview
Expect discussions on:
API Testing
JSON Validation
Postman
SQL Queries
Migration Testing
Data Mapping
Integration Testing
Regression Testing
Defect Isolation
STLC
Agile Methodology
Round 3 – AI & Data Validation Discussion
Likely topics include:
AI-generated outputs.
Hallucination detection.
Validation strategies.
Agent workflows.
Business rules.
Data transformation.
Guardrail validation.
Non-deterministic AI responses.
Prompt testing concepts.
Round 4 – Managerial Interview
Focus areas:
Collaboration with US stakeholders.
Communication skills.
Problem-solving approach.
Ownership.
Investigation techniques.
Round 5 – HR Discussion
Topics generally include:
Compensation.
Joining timeline.
Work location.
Documentation.
Preparation Tips
Since this role combines traditional QA with AI validation, your preparation should be broader than standard testing interviews.
Practice validating complex JSON payloads.
Learn source-to-target migration validation techniques.
Revise SQL joins and aggregation queries.
Build Postman collections with automated validations.
Read about AI hallucinations and guardrail concepts.
Understand how AI agents consume structured data.
Practice identifying incorrect AI outputs.
Learn schema validation basics.
Study data mapping and transformation scenarios.
Prepare examples where you isolated complex production defects.
Understanding why AI produced an incorrect output is often more valuable than simply identifying the defect.
Resume Tips
To maximize your shortlist chances:
Highlight API Testing projects first.
Mention Migration Testing experience.
Showcase Data Validation work.
Include SQL expertise.
Add AI-related projects if available.
Mention Integration Testing separately.
Use measurable achievements.
Keep the resume ATS-friendly.
Recommended keywords:
AI Testing
Agentic AI
API Testing
Postman
SQL
Data Validation
Migration Testing
Integration Testing
JSON
Regression Testing
Functional Testing
Automation Testing
Manual Testing
Quality Assurance
Data Integrity
Defect Analysis

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Source: PANI · https://panihq.com/jobs/ai-system-quality-assurance-engineer-data-agentic-ai-at-chistats-pune-maharashtra-d07e3