Razorpay AI Builder Internship 2026

Google’s interview process typically consists of an online coding assessment followed by two technical rounds focusing on data structures, algorithms, and system design, and finally an HR round assessing cultural fit. The difficulty is high, with emphasis on problem‑solving speed and clear communication; practicing mock interviews and reviewing common questions greatly improves success chances.

Google is renowned for its open, collaborative culture where engineers are encouraged to experiment and innovate. Employees enjoy generous learning budgets, flexible work arrangements, and a strong emphasis on work‑life balance, making it an ideal environment for fresh talent to grow.

Graduating B.Tech/B.E./M.Tech/M.Sc. in Computer Science, Information Technology, Electronics, or related fields; minimum CGPA 7.0/10 (or 70%); batch year 2026; no active backlogs at the time of joining; strong academic record in algorithms, data structures, and mathematics; willingness to work on‑site from September.

Round 1: Online Assessment (coding & aptitude) → Round 2: Technical Interview (ML concepts, coding) → Round 3: HR Interview (fit & motivation)

Google, a global technology leader headquartered in Mountain View, has been at the forefront of innovation for over two decades. With a mission to organize the world's information and make it universally accessible, Google offers a diverse portfolio of products ranging from search, cloud computing, advertising, to cutting‑edge AI solutions. The company's Indian operations span multiple cities, employing thousands of engineers, product managers, and researchers who work on products that impact billions of users daily. Google’s culture emphasizes openness, continuous learning, and a strong bias for action, making it an attractive destination for fresh talent seeking to build a career in technology. The Razorpay AI Builder Internship 2026, hosted on Google’s platform, is designed for students eager to dive deep into artificial intelligence, machine learning, and product development. Interns will collaborate with cross‑functional teams to design, prototype, and test AI‑driven features that can be integrated into Razorpay’s payment ecosystem. This role offers hands‑on exposure to real‑world problems, mentorship from senior engineers, and the chance to contribute to products that will be used by millions of merchants across India. Key responsibilities include: 1. Assisting in the design and development of AI models for fraud detection, recommendation systems, and transaction analytics. 2. Conducting data preprocessing, feature engineering, and exploratory data analysis on large-scale payment datasets. 3. Implementing and fine‑tuning machine learning pipelines using TensorFlow or PyTorch. 4. Collaborating with product managers to translate business requirements into technical specifications. 5. Writing clean, modular code and maintaining documentation for reproducibility. 6. Participating in code reviews and adopting best practices for version control (Git). 7. Testing model performance, conducting A/B experiments, and iterating based on feedback. 8. Presenting findings and prototypes to senior leadership and stakeholders. 9. Staying updated with the latest research in AI/ML and proposing innovative solutions. 10. Contributing to internal knowledge‑sharing sessions and hackathons. The tech stack primarily includes Python, TensorFlow/PyTorch, SQL, BigQuery, and cloud services on Google Cloud Platform. Successful interns can expect a clear growth path: high‑performing interns are often offered full‑time roles as Software Engineers, Data Scientists, or Product Managers after graduation. Joining Google provides unparalleled learning resources, a vibrant community, and the chance to work on products that shape the future of digital payments in India. The internship is a springboard for a rewarding career in AI, fintech, and product innovation.