QA Intern

About Impact Analytics

Impact Analytics™ (Series D Funded) delivers AI-native SaaS solutions and consulting services that help companies maximize profitability and customer satisfaction through deeper data insights and predictive analytics. With a fully integrated, end-to-end platform for planning, forecasting, merchandising, pricing, and promotions, Impact Analytics empowers companies to make smarter decisions based on real-time insights rather than relying on last year’s inputs to forecast and plan this year’s business. Powered by over one million machine learning models, Impact Analytics has been leading AI innovation for a decade, setting new benchmarks in forecasting, planning, and operational excellence across the retail, grocery, manufacturing, and CPG sectors. In 2025, Impact Analytics is at the forefront of the Agentic AI revolution, delivering autonomous solutions that enable businesses to adapt in real time, optimize operations, anddrive profitability without manual intervention.

The impact that you will be making

We are looking for a highly motivated QA Intern to join the team building our Agent Studio. This role offers hands-on experience in the challenging, non-deterministic world of Generative AI, focusing on quality assurance for autonomous agents and complex multi-step workflows. You will play a crucial role in validating agent behaviour, reasoning, tool-use, and safety.

What Lands You In This Role

Required Skills & Qualifications

Currently pursuing or recently completed a degree in Computer Science, Information Technology, or a related technical field.

Basic understanding of Generative AI/LLMs

and their non-deterministic nature.Foundational knowledge of

Software Quality Assurance (QA) principles

and the Software Development Lifecycle (SDLC).Strong

analytical and critical thinking skills

with exceptional attention to detail.Familiarity with at least one

bug-tracking tool

(e.g., Jira, Asana) and writing clear defect reportsBasic scripting skills (

Python is a plus

) for simple data analysis or test execution.Excellent communication and collaboration skills to work with engineers and researchers.

Key Responsibilities

Agent Validation:

Execute and document test plans specifically designed to validate the reasoning, planning, and decision-making capabilities of autonomous AI agents.

Workflow Testing:

Manually and semi-automatically test end-to-end multi-step workflows orchestrated by GenAI agents across enterprise tasks.

Defect Analysis:

Identify, meticulously document, and track complex defects, especially those related to

agent hallucination, poor tool selection, or memory failure.

Test Case Development:

Assist in writing and refining test scenarios, focusing on edge cases, long-running tasks, and multi-agent collaboration failure points.

Documentation & Reporting:

Maintain clear test results, contribute to quality metrics, and provide timely feedback to engineering and product teams.

Preferred Skills

Experience with testing APIs (e.g., using Postman) and Load testingInterest in exploring and setting up basic automated QA for LLM responses.

What We Offer

• An opportunity to work with the best companies globally.
• Opportunities to quench your thirst for problem-solving, experimenting, learning, and
• implementing innovative solutions
• A flat, collegial work environment, with a work hard, play hard attitude
• A platform for rapid growth if you are willing to try new things without fear of failure.
• Remuneration with best in class industry standards with generous health insurance cover
  

Our Accolades Include

• Ranked #72 in America’s Most innovative Companies list in 2023 alongside companies like Microsoft, Tesla, Apple, IBM, etc.
• Ranked as one of America' s fastest growing companies by Financial Times for four consecutive years: 2020-2023.
• Ranked as one of America' s fastest-growing private companies by Inc 5000 for Six consecutive years: 2018-2023.
• Recognized in multiple Gartner reports, including Market Guides and Hype Cycle, spanning assortment, merchandising, forecasting, algorithmic retailing, and Unified Price, Promotion, and Markdown Optimization Applications.
• Featured as one of top 25 ML startups to watch by Forbes in 2019.
• Ranked as one of North Americas' fastest-growing technology companies by Deloitte for two consecutive years 2019 & 2020