Job Description
Key Responsibilities:
● Fine-tune and optimize LLMs such as LLaMA and OpenAI GPT using advanced prompt
engineering and parameter-efficient techniques (LoRA, quantization).
● Design and implement end-to-end RAG pipelines with vector search (FAISS, hybrid
retrieval, re-ranking).
● Build autonomous AI agents using LangChain and modern Agent Development Kits
(ADK), including tool-calling, memory management, and multi-agent orchestration.
● Develop and optimize ML/DL models using PyTorch and TensorFlow, including
multimodal architectures.
● Build scalable APIs using FastAPI/Flask and deploy AI systems on AWS/Azure.
● Implement guardrails, evaluation metrics, monitoring, and performance optimization for
production AI systems.
● Containerize and manage deployments using Docker and Git.
Required Qualifications:
● Strong proficiency in Python with solid understanding of Data Structures & Al...