The evolution from AI agents to Agentic AI, along with the transition from prompt engineering to context engineering, is shaping the development of scalable, enterprise-grade multi-agent collaboration systems.
Several companies in and around Vellore, like LTIMindtree, Techvy Corp, Uplers, Insight Global, and FlatZ, have posted openings for Generative AI roles, filled through remote, hybrid, or PAN India hiring models, so candidates based in Vellore can apply broadly.
Entry-level roles in Generative AI typically offer salary packages ranging from ₹6–10 LPA. Professionals with 2 to 4 years of experience earn approximately ₹20 LPA, while Senior roles command salaries exceeding ₹35 LPA.
Our curriculum is aligned with industry demands, covering Python, Machine Learning algorithms, Transformers, Retrieval-Augmented Generation (RAG), Fine-Tuning, AI Agents, and MLOps. The training prepares you for real-world responsibilities, including AI agent development, deployment, and the building of ethical AI solutions.
“100% placement support and training are provided after course completion until you land in your dream job.”
Our comprehensive Gen AI training helps you grab the most sought-after job titles listed below:
Generative AI Engineer
Architect and implement end‑to‑end Generative AI solutions like digital assistants, RAG systems. Evaluate AI approaches like fine‑tuning versus RAG and support scalable deployment across enterprise use cases.
Generative AI & Frontend Engineer
Build AI‑powered applications combining LLMs with modern frontend frameworks. Design and optimize RAG pipelines, embeddings, and conversational user interfaces.
Generative AI Developer
Design, develop, and fine-tune generative systems capable of creating text, images, code, or other content. Work with frameworks like PyTorch, TensorFlow, Hugging Face, and OpenAI APIs to build applications powered by transformers and foundation models.
Senior AI/ML Developer
Develop agentic AI workflows and automation using LangChain, OpenAI SDK, and multi‑LLM integration. Build pipelines for document processing and model‑driven workflows with LLMs like OpenAI and Anthropic.
AI Quality Assurance Tester
Evaluate and validate AI systems to ensure accuracy, reliability, safety, and performance by testing models, detecting biases, and verifying outputs across different scenarios and edge cases.
Applied GenAI / ML Engineer
Mid‑level engineering role focusing on building and deploying GenAI systems using Python and ML tools. Includes RAG pipelines and production‑ready workflows with LLMs across real‑world business challenges.
