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
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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