Artificial Intelligence is transforming software testing, and here’s your chance to be part of that revolution! π ChiStats is hiring AI System Quality Assurance Engineers β Data & Agentic AI for its Pune office. If you have 1β3 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.
π Job Details
π’ Company: ChiStats
πΌ Position: AI System Quality Assurance Engineer β Data & Agentic AI
π Location: Pune, Maharashtra
π’ Work Mode: Full-Time (Office)
π¨βπ» Experience: 1β3 Years
π
Interview Mode: Face-to-Face at Pune Office
π’ Open Positions: 2
π’ About ChiStats
ChiStats is a technology-driven IT services company specializing in Artificial Intelligence, Data Engineering, Analytics, Machine Learning, Intelligent Automation, and Enterprise Digital Solutions. The company develops modern AI-powered platforms that help businesses automate complex processes through intelligent workflows, structured data models, predictive analytics, and Agentic AI technologies.
Working at ChiStats provides engineers with exposure to next-generation AI systems, modern software engineering practices, enterprise integrations, and global client engagements, making it an exciting destination for professionals passionate about emerging technologies.
π 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
- π€ Gain practical experience testing AI and LLM-powered systems.
- π Work extensively on enterprise data validation and migration testing.
- π Validate intelligent agent workflows and AI decisions.
- π Collaborate directly with US-based Product and Engineering teams.
- π Build expertise in one of the fastest-growing AI quality domains.
- π Excellent pathway toward AI QA Engineer, AI Test Architect, or AI Validation Specialist roles.
- π‘ 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.
πΌ 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.
π 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
π° Expected Salary Range
ChiStats has not officially disclosed compensation.
Based on current AI QA hiring trends:
- π° 1β3 Years Experience: βΉ8 LPA β βΉ14 LPA
Candidates with prior AI testing, migration testing, or strong API testing experience may receive higher offers depending on technical expertise.
π 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 β Resume Screening
Recruiters generally assess:
- QA experience.
- API Testing projects.
- Data validation exposure.
- Communication skills.
Round 2 β 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 β 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 β Managerial Interview
Focus areas:
- Collaboration with US stakeholders.
- Communication skills.
- Problem-solving approach.
- Ownership.
- Investigation techniques.
Round 5 β HR Discussion
Topics generally include:
- Compensation.
- Joining timeline.
- Work location.
- Documentation.
π― 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.
π 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
π© How to Apply?
π Application Link: Click Here
- π Update their latest resume.
- π§ Apply through the official ChiStats career portal or recruiter communication for this opening.
- π’ Be prepared to attend the face-to-face interview in Pune.
- Include:
- Current Company
- Total Experience
- API Testing Experience
- AI Testing Experience (if applicable)
- Current CTC
- Expected CTC
- Notice Period
Applying with a resume emphasizing API Testing, Data Validation, Migration Testing, and AI-related projects will significantly improve your chances of being shortlisted.
π― Final Thoughts
The AI System Quality Assurance Engineer β Data & Agentic AI position at ChiStats is an outstanding opportunity for QA professionals who want to move beyond conventional testing into the rapidly growing world of Artificial Intelligence Quality Engineering. With exposure to Agentic AI workflows, API integrations, data migration, AI output validation, and enterprise-scale intelligent systems, this role provides the kind of future-focused experience that can significantly accelerate your career. If you’re excited about combining software testing with AI innovation, this is the perfect opportunity to level up your QA journey. π
