Generative AI is booming across sectors in India, powering personalized experience in e-commerce/retail, custom learning schedules in education, content creation in media/marketing, optimization in supply chain and logistics. AI Agent to Agentic AI, Prompt engineering to Context engineering are the key shifts enabling the development of scalable enterprise multi-agent systems.
Companies like Cogniter Technologies, Bebo Technologies, PaladinTechAI, RChilli Inc., FinalRope Soft Solutions Pvt Ltd, Groot Software Solutions, BizTechno, BEXO.AI have posted openings for Generative AI roles in and around Chandigarh. Larger players like Microsoft also recruit via neurodiversity programs.
Beginner AI roles offer a salary range of 6 – 12 LPA, mid-level professionals get around 20 LPA, whereas experts get over 36 LPA.
Our training covers Python, RAG, Fine-tuning, Agent building, automating workflows and AI Operations, directly matching job needs like agent development, deployment, and ethical AI.
“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:
Design, build, and optimize AI systems that create new content such as text, images, code, audio, or video – using suitable models as per demand.
Bridge business needs and AI solutions by identifying opportunities, defining requirements, and translating organizational goals into data-driven and AI-powered strategies.
Design, test, and optimize inputs (prompts) to effectively guide AI models like ChatGPT and Claude to produce accurate, relevant, and high-quality outputs.
Build autonomous AI systems that can plan, reason, use tools, and take actions to complete tasks with minimal human intervention, often leveraging frameworks and models like LangChain and Auto-GPT.
Design and implement AI-powered workflows that automate repetitive tasks, integrate tools, and improve business efficiency using platforms like Zapier.
- AI Fine-Tuning Specialist
Adapt and optimize pre-trained AI models to perform better on specific tasks or domains by customizing datasets, adjusting parameters, and refining performance using techniques such as transfer learning with models like BERT and GPT-3.
Leads the strategy, development, and lifecycle of AI-powered products by aligning business goals, user needs, and technical capabilities to deliver scalable solutions using technologies such as OpenAI API.
- 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.
