We are hiring GenAI/LLM practitioners who are hands-on, curious, and execution-focused. Strong practical experience with LLM tools, prompt engineering, and real-world GenAI applications is essential. People from tier II and tier III colleges are also eligible. What you'll do: - Design, test, and optimise LLM-driven solutions for real business use cases - Create, refine, and manage high-quality prompts, workflows, and agent setups - Rapidly prototype GenAI applications using existing tools, APIs, and platforms - Evaluate LLM outputs for accuracy, bias, safety, and reliability - Stay current with new LLM models, tools, and GenAI trends, and apply them pragmatically - Collaborate with business and technical teams to translate ideas into working AI solutions - Continuously improve the performance, efficiency, and cost-effectiveness of LLM usage What you'll need: - Strong background in Mathematics, Statistics, or Computer Science. - Experience with deep learning frameworks like PyTorch or TensorFlow. - Proven track record of publishing research or developing scalable AI systems. Qualifications: - Bachelor's degree in Computer Science, Data Science, or a related field (Master's or PhD preferred). Additional Competencies: - Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) is a plus. - Strong communication skills and ability to work in a collaborative team environment.