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...