QA - AI Integration & Data Validation
ChiStats · Pune City Subdistrict, Maharashtra, India
IT Services and IT Consulting · 11-50 employees
About the role
Validate the integration between an agentic AI quoting platform and SubmissionLink to ensure accurate data representation. Develop integration and regression tests to identify defects in data mapping and UI reflection.
What they look for
Requirements
Requires strong experience in API and integration testing with the ability to validate complex data models across systems. Experience testing non-deterministic AI outcomes and familiarity with Model Context Protocol is preferred.
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)
