Fermi AI Off Campus Drive 2026 | Product QA Intern | Bengaluru — Apply Now

Fermi AI Off Campus Drive 2026 is now open! Fermi AI, a fast-growing AI-powered education startup building next-generation intelligent tutoring systems, is actively hiring freshers for the Product QA Intern role at its Bengaluru office. If you are an engineering or STEM graduate with strong analytical skills and an interest in how AI tutors are evaluated and improved, this 2-month internship at Fermi AI is an exciting opportunity to work at the cutting edge of AI and education technology.

Fermi AI Off Campus Drive 2026 – Full Job Details

About Fermi AI

Fermi AI is an innovative AI startup building next-generation intelligent tutoring systems that help students master complex STEM subjects through personalized, adaptive learning experiences. The company is focused on evaluating and continuously improving AI tutor responses across Physics, Mathematics, and Chemistry to ensure every student gets accurate, curriculum-aligned guidance. Backed by ambitious vision and a team of top engineers and educators, Fermi AI is based in Bengaluru and is at the forefront of reimagining how AI can transform education. For freshers passionate about AI, education, and quality, Fermi AI offers a rare opportunity to shape the future of learning from the ground up.

Role Overview – Product QA Intern

As a Product QA Intern at Fermi AI, you will play a critical role in ensuring the accuracy, reliability, and pedagogical quality of Fermi AI’s intelligent tutoring outputs. You will execute test cases across STEM subject areas, verify AI-generated responses for correctness and student-friendliness, test end-to-end learning workflows, log bugs, and maintain comprehensive QA documentation. This role is ideal for STEM graduates with strong academic foundations – particularly those with JEE-level expertise in Physics, Mathematics, and Chemistry – who want to combine their domain knowledge with hands-on product quality assurance experience.

Key Responsibilities

• Test Case Execution: Execute structured test cases against Fermi AI’s intelligent tutoring workflows to validate the accuracy, completeness, and quality of AI-generated answers, hints, and explanations across STEM subjects including Physics, Mathematics, and Chemistry.
• AI Response Verification: Evaluate AI tutor responses for scientific and mathematical correctness, curriculum alignment, grade-level appropriateness, and pedagogical clarity using JEE-level domain expertise as a benchmark for quality assessment.
• End-to-End Workflow Testing: Test complete student learning journeys within Fermi AI’s platform, identifying usability gaps, incorrect flows, and edge cases that could negatively impact the learning experience for students.
• Bug Logging & Reporting: Document identified defects, unexpected AI behaviors, and content inaccuracies in the team’s bug tracking system with clear reproduction steps, expected behavior, and severity assessments for engineering prioritization.
• QA Documentation: Maintain up-to-date QA documentation including test plans, test case libraries, defect logs, and release notes to ensure quality standards are consistently tracked and communicated across the product team.
• Automation Exposure: Receive training and develop skills in QA automation tools such as Playwright and Cypress to support future automation of repetitive test workflows across Fermi AI’s platform.
• Collaboration: Work closely with product managers, engineers, and AI trainers to communicate quality findings, reproduce issues, and ensure that AI model improvements are validated before release to students.

Eligibility Criteria

• Educational Qualification: Currently enrolled in 1st through 4th year of B.E / B.Tech or any Engineering / STEM undergraduate program, or a recent graduate from the 2024, 2025, or 2026 batch; IIT graduates are strongly preferred.
• Batch Year: Currently enrolled students (1st–4th year) and recent graduates from the 2024, 2025, or 2026 batch are eligible to apply.
• Academic Performance: Strong STEM academic record required; JEE-level proficiency in Physics, Mathematics, and Chemistry is highly valued for evaluating AI tutor response quality.
• Technical Skills: Basic familiarity with software testing concepts; interest in or exposure to QA tools (Playwright, Cypress, or similar) is a plus; training will be provided on all required automation tools.
• Communication Skills: Strong written communication skills in English; ability to document bugs, test cases, and QA reports clearly and precisely for a technical audience.

Selection Process

The Fermi AI Off Campus Drive 2026 follows a structured selection process:

• Round 1 – Online Application & Profile Screening: Candidates apply through the official Fermi AI careers portal. The team screens academic background, STEM strength, and relevant project or internship experience before shortlisting.
• Round 2 – Technical & Domain Assessment: Shortlisted candidates may be assessed on STEM subject knowledge (Physics, Mathematics, Chemistry at JEE level), logical reasoning, and basic QA concepts to evaluate their suitability for the AI tutor evaluation role.
• Round 3 – HR & Culture Fit Interview: A final conversation with the Fermi AI team to evaluate communication skills, enthusiasm for AI-powered education, and readiness to contribute to a fast-moving startup environment.

Salary & Benefits

Fermi AI offers competitive compensation for this Product QA Intern role, with the exact figure disclosed at the offer stage. As an early-stage AI startup, Fermi AI provides interns with exceptional hands-on experience working directly with AI product teams, mentorship from IIT-educated engineers and educators, training in industry-standard QA automation tools (Playwright, Cypress), and an entrepreneurial learning environment that can significantly accelerate a fresher’s career in AI and product quality roles.

How to Apply for Fermi AI Off Campus Drive 2026

1. Click the “Apply Now” button below.
2. You will be redirected to the official Fermi AI careers page.
3. Create an account or log in if required.
4. Fill in the application form with your academic details.
5. Upload your updated resume in PDF format.
6. Submit the application and note down the reference number.

Note: freshershunt.in is a job information platform. We are not the recruiter. Always verify details on the official company careers page before applying.

Frequently Asked Questions – Fermi AI Off Campus Drive 2026

Q1. Who is eligible to apply for Fermi AI Off Campus Drive 2026?

Students currently enrolled in 1st through 4th year of B.E / B.Tech or any Engineering / STEM program, or recent graduates from the 2024, 2025, or 2026 batch, with strong STEM academic backgrounds (JEE-level Physics, Mathematics, Chemistry), are eligible to apply for the Product QA Intern role at Fermi AI Bengaluru. IIT graduates are strongly preferred.

Q2. What is the compensation offered in Fermi AI Off Campus Drive 2026?

Fermi AI offers competitive compensation for this Product QA Intern role. The exact amount is disclosed at the offer stage. The internship also includes mentorship from experienced engineers, QA automation training (Playwright, Cypress), and an opportunity to work directly on an AI-powered education product.

Q3. What is the job location for this role?

The Product QA Intern role is based at Fermi AI’s Bengaluru, Karnataka office. This is an on-site internship position for a duration of 2 months.

Q4. What is the selection process for Fermi AI Off Campus Drive 2026?

The selection process involves three steps: an online application and profile screening, a technical and domain assessment covering STEM knowledge and QA concepts, and a final HR and culture fit interview with the Fermi AI team.

Q5. What is the last date to apply for Fermi AI Off Campus Drive 2026?

The exact last date has not been announced. We recommend applying as soon as possible since internship positions fill up quickly. Click the Apply Now button above to check the current status on the official Fermi AI careers page.

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