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