Junior - AI Integration & Data Validation QA Analyst

• 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 - Junior - AI Integration & Data
• Validation QA Analyst with 1-2years of experience, who will support
• testing of integrations between our agentic AI quoting platform and
• SubmissionLink. The role will validate whether Small Business Owner information is correctly transferred through the data model, consumed by AI agents, and
• represented in insurance applications and the user interface. The successful
• candidate should have a solid foundation in functional and API testing, strong
• attention to detail, and an interest in developing expertise in AI and
• agentic-system validation.
• Strong communication skills and the confidence to interact
• directly with US-based stakeholders are mandatory.

Primary Responsibilities

Execute

functional, integration, and regression tests for AI-enabled workflows

Compare

information received from SubmissionLink with data consumed by AI agents

Validate

whether generated insurance applications and UI screens accurately reflect

source information

Check

API payloads, data mappings, required fields, and system responses

Execute

predefined positive, negative, and edge-case business scenarios

Identify

and record defects involving incorrect, missing, or inconsistent

information

Retest

resolved defects and support release regression testing

Assist

senior QA and Engineering team members with issue investigation

Participate

in discussions with US-based Product, Engineering, and business

stakeholders

Clearly

communicate test progress, issues, and findings

Develop

knowledge of agentic AI testing, non-deterministic outcomes, and

data-integrity validation

Requirements

Required Experience and Skills

1–2

years of software testing experience

Understanding

of functional, integration, and regression testing

Basic

API testing experience using tools such as Postman

Familiarity

with JSON, API requests, responses, and structured data

Ability

to compare data across source payloads, system outputs, and user

interfaces

Experience

creating and executing test cases

Ability

to document defects clearly and provide supporting evidence

Basic

understanding of Agile software development

Strong

verbal and written communication skills

Ability

and confidence to work directly with US-based stakeholders

Ability

to explain test findings and data inconsistencies clearly

Strong

analytical ability, attention to detail, and willingness to learn

Preferred Experience

Insurance

domain experience, particularly in quoting, underwriting, or insurance

application workflows

Exposure

to AI, LLM, chatbot, or agentic AI applications

Basic

SQL or database-validation skills

Familiarity

with data models and data-mapping concepts

Awareness

of Model Context Protocol (MCP)

Exposure

to automated API or regression testing