Intern - Fullstack & AI Innovation (IIT/NIT/BITS,etc)

Candidates report a three‑stage interview process: an initial online aptitude test, followed by a technical interview that probes programming, data‑structures, and basic AI concepts, and finally an HR round assessing cultural fit. The difficulty is moderate; practicing coding problems and reviewing AI fundamentals greatly improve performance.

Noise Office promotes a fast‑paced, collaborative environment where engineers are encouraged to experiment and share knowledge. Employees benefit from mentorship, flexible working hours, and a focus on work‑life balance, with regular tech talks and hackathons to keep the team updated on industry trends.

Eligible candidates must be pursuing or have completed a B.Tech/M.Tech/BE/M.Sc in Computer Science, Information Technology, Electronics & Communication, or related fields. Minimum aggregate of 60% (or CGPA 6.0/10) in the qualifying degree. Candidates from the 2025, 2026 or 2027 graduating batches are welcome. No active backlogs at the time of joining. Strong programming fundamentals and a passion for learning new technologies are essential.

Round 1: Online aptitude and logical reasoning test → Round 2: Technical interview covering programming, data structures, algorithms and basic AI concepts → Round 3: HR interview focusing on cultural fit, communication skills and internship expectations

Noise Office is a fast‑growing technology startup based in Gurgaon that focuses on building intelligent products for consumer and enterprise markets. Founded by a team of engineers from premier Indian institutes, the company blends deep expertise in AI, mobile, and cloud engineering to deliver solutions that are both innovative and market‑ready. Over the past few years, Noise Office has expanded its portfolio to include AI‑powered mobile apps, web platforms, and edge‑device integrations, earning a reputation for a collaborative culture that encourages experimentation and rapid prototyping. The organization values continuous learning, and its employees enjoy exposure to cutting‑edge tools such as large language models, computer‑vision pipelines, and modern DevOps practices. The Tech Intern role is designed for bright engineering students who thrive on variety and love to build end‑to‑end solutions. As an intern, you will be immersed in real product development cycles, working alongside senior developers, AI researchers, and UI/UX designers. You will contribute to both feature development and research‑driven prototypes, gaining hands‑on experience across mobile, web, and AI domains. The internship lasts six months and offers a stipend, mentorship, and the chance to see your code shipped to production. Key Responsibilities: 1. Design, develop, and deploy full‑stack applications for web, Android, and iOS platforms. 2. Implement, fine‑tune, and integrate AI/ML models such as LLMs, computer‑vision, and signal‑processing solutions. 3. Build and document RESTful and GraphQL APIs, ensuring scalability and security. 4. Participate in code reviews, write unit and integration tests, and maintain code quality standards. 5. Research emerging technologies like Generative AI, multimodal interfaces, and edge AI, and prototype proof‑of‑concepts. 6. Collaborate with cross‑functional teams to translate product requirements into technical specifications. 7. Automate deployment pipelines using Docker, CI/CD tools, and cloud services. 8. Contribute to data engineering tasks, including data collection, preprocessing, and storage for model training. 9. Optimize frontend performance using React/Next.js and Flutter, ensuring responsive UI across devices. 10. Document technical decisions, create technical specifications, and present prototypes to stakeholders. Tech Stack: Python, JavaScript/TypeScript, Kotlin, Swift, Dart, Java, C++; React, Next.js, Node.js, Flutter; TensorFlow, PyTorch, OpenCV, LangChain; OpenAI, Hugging Face, Vertex AI, Firebase, AWS, Azure; Git, Docker, REST, GraphQL, CI/CD, micro‑services. Growth Path: Successful interns may receive a full‑time offer, with clear progression from junior developer to AI engineer or full‑stack specialist, depending on interests and performance. The role offers exposure to product lifecycle, from ideation to deployment, positioning interns for future roles in high‑impact tech teams. Why Join Noise Office: You will work on real‑world AI products, learn from seasoned engineers, and be part of a culture that rewards curiosity and rapid learning. The startup environment ensures high visibility of your contributions, fast feedback loops, and the chance to shape innovative solutions that reach customers quickly.