Description

You will build and optimize generative AI solutions using large language models and natural language processing techniques.

Responsibilities

• Implement agentic approaches to optimize LLM interaction in automated and interactive AI solutions.
• Analyze model performance using NLP evaluation metrics and refine prompts and fine-tuning strategies.
• Deploy fine-tuned models on cloud infrastructure, ensuring reliability and meeting project requirements.
• Collaborate with senior engineers to implement and maintain high-performance NLP systems.

Required Skills

• 1 to 4+ years of total experience with at least 1 year of relevant experience.
• Proficiency in PyTorch, TensorFlow, or similar frameworks for natural language processing.
• Deep understanding of Large Language Models (LLMs), transformers, and attention mechanisms.
• Hands-on experience with open-source LLMs and Hugging Face models.
• Experience developing RAG-based pipelines using LangChain and LlamaIndex.
• Knowledge of engineering components including Vector DB, caching layers, chunking, and embedding.
• Ability to deploy LLMs on cloud-based GPUs with optimization for cost and latency.
• Background in NLP, AI/ML, and implementing agentic approaches for conversational AI.
• BE/B.Tech or ME/M.Tech degree.

Preferred Skills

• Understanding of NLP techniques and embedding retrieval for efficient information retrieval.
• Experience implementing agentic workflows to optimize task completion.

Key Skills

Education

Not specified