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