Full-Stack AI Intern

Round 1: Online coding assessment → Round 2: Technical interview (focus on full‑stack and AI concepts) → Round 3: HR interview (fit and motivation)

Google is renowned for its innovative and inclusive work culture that encourages continuous learning and experimentation. Employees benefit from a strong emphasis on mentorship, cross‑functional collaboration, and a balanced approach to work‑life integration, supported by generous benefits and flexible work arrangements.

Google's interview process typically consists of an online coding test followed by two to three technical rounds focusing on data structures, algorithms, system design, and domain knowledge. The difficulty is high, with emphasis on problem‑solving speed and clarity of thought. Candidates are advised to practice coding under time constraints, review core CS concepts, and be prepared to discuss past projects in depth.

Eligible candidates must be pursuing a B.Tech, B.E, M.Tech, M.Sc or equivalent degree in Computer Science, Information Technology, Electronics & Communication, or related fields. Minimum CGPA/percentage of 6.5/70% (or equivalent) is required. Candidates from the graduating batches of 2023, 2024, 2025, or 2026 are welcome. No active backlogs are allowed at the time of joining. Strong programming fundamentals and a demonstrable interest in AI/ML or full‑stack development are essential.

GoComet is a fast‑growing technology company that is redefining global logistics through AI‑driven automation. Founded with the vision of making freight movement seamless, the firm combines deep domain expertise in supply chain with cutting‑edge machine learning, enabling shippers and carriers to make data‑backed decisions in real time. With a presence across major logistics hubs in India and a client base that spans continents, GoComet offers a vibrant environment where innovation meets real‑world impact. The organization invests heavily in research and development, fostering a culture where engineers are encouraged to experiment, iterate, and ship solutions that directly influence the efficiency of global trade. The Full‑Stack AI Intern role sits within the Nova – Autonomous Outcome Engineering team, a group dedicated to building intelligent agents that automate complex business processes. Interns will work side‑by‑side with senior engineers, product managers, and data scientists to design, develop, and deploy end‑to‑end AI solutions. This is a hands‑on opportunity to contribute to production‑grade applications that leverage Large Language Models (LLMs), Retrieval‑Augmented Generation (RAG) pipelines, and modern web frameworks. The role is ideal for candidates who are passionate about both front‑end user experiences and back‑end AI orchestration. Key Responsibilities: 1. Design and implement full‑stack web applications using React, TypeScript, and Node.js. 2. Develop Python services that interact with LLMs and RAG pipelines for document extraction and analytics. 3. Build and expose RESTful APIs to integrate AI agents with enterprise systems. 4. Create multi‑step AI workflows, orchestrating agents to automate logistics processes. 5. Write efficient ClickHouse queries and manage data pipelines for real‑time insights. 6. Implement event‑driven architectures using Kafka to ensure scalable communication. 7. Conduct unit, integration, and performance testing to guarantee reliability. 8. Deploy applications on cloud platforms, set up monitoring, and iterate based on feedback. 9. Collaborate with clients to gather requirements, demo prototypes, and refine solutions. 10. Document code, APIs, and workflow configurations for knowledge sharing. Tech Stack: React.js, TypeScript, Python, Node.js, REST APIs, LLMs (e.g., GPT‑4), LangGraph, RAG, ClickHouse, Kafka, YAML, Git, CI/CD pipelines. Growth Path: Successful interns can transition to full‑time Software Engineer or AI Engineer roles, with opportunities to lead product modules, specialize in AI research, or move into product management. The exposure to end‑to‑end AI systems accelerates learning and opens doors to senior technical positions. Why Join GoComet? The internship offers a rare blend of full‑stack development and cutting‑edge AI engineering, providing tangible impact on global logistics. Interns gain mentorship from industry veterans, access to state‑of‑the‑art tools, and the chance to see their code powering real customers. The fast‑paced, collaborative environment ensures rapid skill growth and a strong foundation for a career in AI‑enabled software development.