Software Engineer Trainee (AI + Full Stack)

Round 1: Application shortlisting → Round 2: Online technical assessment → Round 3: Technical interview (coding & system design) → Round 4: HR interview

Docs.google.com (Google) is known for a highly collaborative environment where engineers are encouraged to experiment and share knowledge. The company offers strong growth opportunities, regular learning sessions, and a good work‑life balance supported by flexible remote policies.

The typical interview process at docs.google.com involves an initial coding test followed by two technical rounds focusing on data structures, algorithms, and system design, and finally an HR round assessing cultural fit. The difficulty is moderate to high, with emphasis on problem‑solving speed and clear communication. Practising coding problems and mock system design interviews greatly helps.

Graduates with a Bachelor’s degree in Engineering (any branch) from the 2025, 2026 or 2027 batch. Minimum aggregate of 60% (or CGPA 6.0/10). No active backlogs at the time of joining. Must have a stable internet connection for remote work and be eligible to work from home in India.

RadialBrain is an emerging technology startup that focuses on building intelligent web solutions for enterprises across India. Founded by a group of AI enthusiasts and full‑stack engineers, the company blends cutting‑edge machine‑learning models with modern web frameworks to deliver products that automate business workflows, enhance user experiences, and unlock data‑driven insights. Although headquartered in Bengaluru, RadialBrain operates with a fully distributed model, allowing talent from any part of the country to contribute to its product roadmap. The firm’s culture emphasizes rapid learning, ownership, and a collaborative spirit, encouraging fresh engineers to experiment with new tools and take responsibility for end‑to‑end feature delivery. The role of Software Engineer Trainee (AI + Full Stack) is designed specifically for recent engineering graduates who are eager to dive into both front‑end development and AI integration. As a trainee, you will work under senior engineers, gaining hands‑on experience in building responsive user interfaces, designing RESTful services, and embedding AI APIs that power features such as recommendation engines, image classification, and automated content generation. The position offers a clear growth path: high‑performing trainees can transition to full‑fledged Software Engineer roles within six months, later moving into specialist tracks like AI Engineer, Front‑End Lead, or DevOps Engineer depending on interest and performance. **Key Responsibilities** 1. Design, develop, and maintain scalable full‑stack web applications using React.js and Node.js/Express. 2. Implement responsive UI components, ensuring cross‑browser compatibility and accessibility. 3. Build and expose REST APIs that interact with databases such as MySQL or MongoDB. 4. Integrate third‑party AI services (e.g., Google Cloud AI, OpenAI) and develop custom model inference pipelines. 5. Write unit, integration, and end‑to‑end tests to guarantee code quality and reliability. 6. Participate in code reviews, contribute to the team’s coding standards, and document technical decisions. 7. Debug production issues, optimise performance, and monitor application health. 8. Collaborate with product managers, designers, and data scientists to translate requirements into technical solutions. 9. Stay updated with emerging technologies in AI, cloud services, and modern JavaScript frameworks. 10. Contribute to automation scripts that streamline CI/CD pipelines and deployment workflows. **Tech Stack**: JavaScript, TypeScript, React.js, Node.js/Express, RESTful APIs, Git, Docker, AWS/GCP, MySQL/MongoDB, AI/ML APIs. **Why Join RadialBrain?** The trainee program offers a rare blend of AI exposure and full‑stack craftsmanship, backed by mentorship from industry veterans. With a competitive CTC of 7–9 LPA, flexible remote work, and a culture that rewards curiosity, fresh engineers can accelerate their careers while contributing to real‑world AI‑driven products. Overall, this opportunity is ideal for candidates who love building end‑to‑end solutions, are fascinated by AI, and thrive in a remote, fast‑paced startup environment.