Today, May 23, marks a significant day for tech talent in India. Tata Consultancy Services (TCS) and HCL Technologies (HCLTech) are hosting simultaneous walk-in drives. These events focus on Generative Artificial Intelligence (GenAI) and Machine Learning (ML) roles. Professionals in Noida and Bengaluru can visit designated venues to secure high-growth positions today.
The Indian IT sector is rapidly shifting toward AI-driven automation. This talent hunt highlights the urgent need for skilled engineers. Companies are looking for experts in Large Language Models (LLMs) and Agentic AI. These roles offer lucrative salary packages compared to traditional software development. Candidates should prepare for technical evaluations that test practical problem-solving skills.

TCS and HCLTech walk-in details for GenAI in Noida
HCLTech is seeking developers with experience in Retrieval-Augmented Generation (RAG) in Noida. The drive starts at 9 AM at their Sector 126 campus. Meanwhile, TCS is scouting for MLOps specialists in Sector 62. Applicants must carry three copies of their resume and official identification. Most roles require at least two years of relevant industry experience for eligibility.
Bengaluru AIML recruitment venues and job offers
Bengaluru remains the primary hub for this massive recruitment drive. TCS is holding interviews at their Whitefield office for Senior AI Engineers. HCLTech is hiring for Agentic AI roles at their Electronic City facility. Companies prioritize candidates who have successfully deployed AI agents. Experience with LangChain provides a significant competitive advantage to applicants today.
Expected salary bands for GenAI and AIML roles
Salary bands for these AI roles are highly competitive right now. Mid-level engineers can expect offers ranging from 12 to 28 lakhs per annum. Experts in prompt engineering or vector databases often receive higher packages. Successful candidates will likely transition into AI Architect roles quickly. This growth makes these drives essential for ambitious professionals.
| Role Category | Top Required Skills | Experience Level |
|---|---|---|
| GenAI Engineer | LLMs, RAG, Prompting | 2 to 8 Years |
| MLOps Specialist | Docker, Kubernetes | 3 to 7 Years |
| Agentic AI Dev | LangChain, AutoGPT | 2 to 5 Years |
Securing a role today requires more than academic knowledge. Demonstrating your ability to handle data challenges is vital. These drives represent a unique chance to join the AI revolution. Ensure your portfolio showcases active projects involving automation or machine learning. Take this opportunity to transition into a future-proof technology career now.


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