AI Engineer – Intern

Round 1: Online coding test → Round 2: Technical interview (Python, API design, AI concepts) → Round 3: HR interview (fit, motivation, culture)

Docs.google.com, as part of Google, promotes an inclusive, innovative culture where engineers are encouraged to experiment and learn. Employees enjoy generous learning budgets, flexible work arrangements, and a strong emphasis on work‑life balance, making it an attractive place for fresh talent to grow.

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

Graduates (B.Tech/B.E., B.Sc., BCA, MCA, or equivalent) in Computer Science, Information Technology, Electronics, or related streams; Minimum 60% aggregate (or CGPA 6.0/10); Batch 2024‑2027; No active backlogs at the time of joining; Strong interest in AI/ML and software development.

E2M Solutions is partnering with Google’s Docs platform to offer a hands‑on internship that immerses fresh talent in the world of artificial intelligence and large language models. Google, a global technology leader, is renowned for its culture of innovation, relentless focus on user‑centric products, and a work environment that encourages curiosity and collaboration. The Docs suite, accessed via docs.google.com, serves millions of users daily, enabling real‑time collaboration, intelligent suggestions, and seamless integration with Google’s AI ecosystem. As part of this ecosystem, the AI Engineer Intern will contribute to building smarter, more intuitive document experiences. In this role, you will work closely with senior AI engineers and product managers to prototype, develop, and test AI‑driven features for Google Docs. You will gain exposure to end‑to‑end product development, from designing API contracts to integrating cutting‑edge LLM services such as OpenAI, Claude, or Gemini. The internship is structured to provide a clear growth path: successful interns may be offered a full‑time position with a competitive CTC of 3‑4 LPA, along with mentorship and continuous learning opportunities. Key Responsibilities: 1. Develop and test RESTful APIs that connect Docs front‑end components with AI back‑end services. 2. Write clean, modular Python code to prototype AI features such as smart suggestions, summarisation, and content generation. 3. Collaborate with front‑end developers to integrate AI outputs using HTML, CSS, and JavaScript. 4. Perform CRUD operations on relational databases to store user interaction data for model training. 5. Explore and integrate LLM APIs (OpenAI, Claude, Gemini) to enhance document intelligence. 6. Utilize AI productivity tools like ChatGPT, Claude, Cursor, and Replit to accelerate development cycles. 7. Conduct unit testing, debugging, and performance profiling of AI modules. 8. Document code, APIs, and design decisions for knowledge sharing within the team. 9. Participate in sprint planning, code reviews, and agile ceremonies. 10. Stay updated with the latest AI research and propose innovative ideas for product improvement. Tech Stack: Python, Flask/Django (API layer), HTML/CSS/JavaScript, SQL/NoSQL databases, REST APIs, LLM APIs (OpenAI, Claude, Gemini), Git, Docker, AI tooling (ChatGPT, Replit). Growth Path: Intern → Junior AI Engineer → AI Engineer → Senior AI Engineer → AI Product Lead. The program emphasizes mentorship, continuous skill upgrades, and exposure to large‑scale production systems. Why Join? You will work on a product used by billions, gain real‑world AI implementation experience, and be part of a culture that values learning, diversity, and work‑life balance. The stipend provides immediate financial support, while the conversion opportunity offers a stable career trajectory within one of the world’s most respected tech firms.