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.

We are looking for - AI Integration & Data
Validation QA Analyst with 2-3 years of experience who will will focus on
validating the integration between our agentic AI quoting platform and
SubmissionLink. AI agents consume Small Business Owner information provided
through SubmissionLink and backed by structured data models to create insurance
applications.

The candidate must have strong communication skills and be
capable of working directly with US-based Product, Data Intelligence,
Engineering, and business stakeholders.

Primary Responsibilities

- Validate
SubmissionLink data against expected Small Business Owner information

- Verify
that AI agents correctly consume and apply SubmissionLink data when
creating insurance applications

- Validate
data mapping and transformation across source systems, APIs, AI agents,
and the UI

- Test
agentic workflows while accounting for acceptable variations in
AI-generated outcomes

- Identify
missing, incorrect, inconsistent, unsupported, or fabricated information

- Validate
AI outputs against defined business rules, data models, and expected
outcome ranges

- Determine
whether issues originate in source data, the data model, integration
layer, AI-agent behaviour, or front end

- Develop
integration and regression tests covering common, negative, and edge-case




business scenarios

- Validate
fallback behaviour, exception handling, and human-review requirements

- Work
directly with US-based Product, Data Intelligence, Engineering, and
business teams

- Clearly
communicate defects, evidence, quality risks, and test findings to
stakeholders

Requirements

Required Experience and Skills

- 2–3
years of QA experience, with a strong focus on API, integration, or data
testing

- Solid
experience validating complex data models across multiple systems

- Ability
to trace data from the source through APIs, AI workflows, and the user
interface

- Experience
testing non-deterministic, probabilistic, or rules-driven outcomes

- Strong
API testing experience using tools such as Postman

- Working
knowledge of JSON, structured data, and API payload validation

- Ability
to create detailed test cases focused on data integrity, mapping, and
transformation

- Strong
functional and regression testing experience

- Strong
analytical, investigative, and defect-isolation skills

- Strong
verbal and written communication skills

- Ability
to work directly and independently with US-based stakeholders

- Ability
to explain AI behavior, data-integrity issues, and non-deterministic
outcomes to technical and non-technical stakeholders

​

Preferred Experience

- Insurance
domain experience, preferably in commercial insurance, quoting,
underwriting, or insurance application workflows

- Experience
testing AI, LLM, or agentic AI applications

- Familiarity
with Model Context Protocol (MCP)

- Experience
validating structured data consumed or generated by AI systems

- Understanding
of AI evaluation methods, acceptable outcome ranges, and validation
thresholds

- SQL
or similar data-querying skills

📌 AI Integration & Data Validation QA Analyst (Pune)
🏢 Nameless
📍 Pune