We are seeking a Generative AI Engineer with 1-3 years of experience to develop and deploy AI-powered solutions using Large Language Models (LLMs) and up-to-date AI frameworks. The ideal candidate should have hands-on experience in building GenAI applications, integrating AI models, and delivering scalable solutions

Responsibilities

Develop and implement Generative AI applications using LLMs. Build and optimize RAG (Retrieval-Augmented Generation) solutions.

Design and refine prompts to improve AI performance and user experience.

Integrate AI models with APIs, databases, and business applications.

Evaluate, monitor, and enhance model performance.

Collaborate with cross-functional teams to deliver AI-driven solutions.

Qualifications





2-3 years of experience in AI/ML, Data Science, or Software Development. Strong proficiency in Python and SQL.

Experience with LLMs, Prompt Engineering, and RAG.

Familiarity with LangChain, LlamaIndex, or similar frameworks.

Knowledge of Vector Databases

Understanding of cloud platforms (AWS, Azure)

⁠understanding of CI/CD pipelines

⁠knowledge of front end skills added advantage

Preferred

Experience with AI Agents, chatbot development, or GenAI use cases.

Exposure to MLOps and model deployment practices

📌 Associate Consultant (Gurugram)
🏢 KPMG Global Services
📍 Gurugram