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ChiStats

QA - AI Integration & Data Validation

ChiStats Pune City Subdistrict, Maharashtra, India

IT Services and IT Consulting · 11-50 employees

Jul 14
qa Mid (2-5 yrs) Full-time India
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About the role

The role involves validating the integration between agentic AI platforms and data submission systems to ensure accurate data representation. You will develop integration and regression tests while collaborating with engineering teams to isolate and resolve data mapping or front-end defects.

What they look for

API Testing Integration Testing Data Validation Data Modeling AI Testing LLM Agentic AI Regression Testing Data Mapping Data Transformation Test Case Development Analytical Skills Model Context Protocol Insurance Domain Underwriting

Requirements

Candidates must have strong experience in API and integration testing, along with the ability to trace complex data models across multiple systems. Experience with AI, LLM, or agentic AI applications is preferred, as is domain knowledge in insurance or underwriting.

Full description

About ChiStats

ChiStats is an award-winning, AI-native engineering company focused on building practical AI, data, and cloud-enabled solutions for financial services and other mission-critical industries. We are actively building our Wealth Management and Compliance technology portfolio, including ComplianceAssist — an AI-enabled compliance product initially designed for AMCs regulated by SEBI, with identified potential to extend to AIFs and PMS firms.

This role will focus on validating the integration between our agentic AI quoting platform and SubmissionLink. AI agents consume Small Business Owner information provided through SubmissionLink (backed by our data models) to create insurance applications. The role will verify that the correct data is accurately represented throughout the user experience.

Primary Responsibilities

  • Validate data provided by SubmissionLink

against expected business information

  • Verify AI agents correctly consume and apply

SubmissionLink data when creating insurance applications

  • Identify data mapping, transformation,

and/or integration defects

  • Validate UI accurately reflects data provided

through the AI workflow

  • Develop integration and regression tests

covering common and edge-case business scenarios

  • Work closely with Data Intelligence and

Engineering teams to isolate whether issues originate in source data, integration, or the front end

Requirements

Required Experience

  • Strong API and integration testing

experience

  • Experience validating complex data

models across multiple systems

  • Ability to trace data from source

to UI and identify issues

  • Experience testing systems with

non-deterministic or probabilistic outcomes

  • Strong analytical and investigative

skills

  • Experience creating detailed test

cases focused on data integrity

Preferred Experience

  • Experience testing AI, LLM, or

agentic AI applications

  • Familiarity with Model Context

Protocol (MCP)

  • Experience validating structured

data consumed by AI systems

  • Insurance,

quoting, or underwriting domain experience (nice to have)

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