Description

Design and build production-level LLM systems, optimizing solution architectures and fine-tuning models for both open-source and closed-source platforms.

Responsibilities

• Develop optimized LLM solution designs and deploy robust systems in production environments.
• Implement prompt engineering strategies and utilize frameworks like Langchain and LlamaIndex.
• Fine-tune and manage inferencing setups for transformer-based architectures.
• Evaluate NLP tasks using appropriate metrics and design LLM/AI Agents.
• Configure and manage infrastructure requirements across AWS, Azure, or GCP.

Required Skills

• 5+ years of experience in data science and machine learning.
• Deep expertise in Open-Source and Closed-Source LLMs.
• Strong proficiency with Transformer-based architectures and model training.
• Hands-on experience with Langchain, LlamaIndex, or similar LLM orchestration tools.
• Practical knowledge of LLM Agents and AI Agent frameworks.
• Proven experience with at least one major cloud platform: AWS, Azure, or GCP.
• Ability to articulate technical concepts clearly and communicate effectively.

Preferred Skills

• Experience with advanced prompt engineering tools and techniques.
• Familiarity with diverse NLP evaluation metrics and benchmarking.

Key Skills

Education

Any Graduate