AI Engineer

About this role

Batch: 2019/2020/2021/2022. Responsibilities: - Implement memory into AI Agents, ensuring proper context management - Apply RAG pipelines to integrate LLMs with real-time data and context - Apply advanced techniques in prompt engineering, transfer learning, and custom model training - Optimize model performance and cost across production environments - Work with Hugging Face, LangChain, OpenAI APIs, and vector databases (FAISS, Pinecone, Weaviate) - Deploy scalable models using AWS, GCP, Azure, Docker, and Kubernetes Requirements: - 4+ years of experience in AI/ML with deep exposure to Generative AI and LLMs - Experience working in Memory Management, Context setting, and RAG - 2–3 years of pure Backend SDE experience is a must for this role - Preferably from Tier 1 colleges with a background in CSE