Description

Design and implement production-ready Generative AI solutions using LLMs, RAG, and multimodal approaches.

This role is hybrid.

Responsibilities

• Develop and fine-tune transformer-based (BERT, GPT, Llama) and diffuser-based (Stable Diffusion) models.
• Architect communication flows for AI systems, incorporating RAG and multimodal capabilities.
• Build production-ready code using Python, C, C++, C#, or Java.
• Implement prompt engineering strategies and context-based prompt management.
• Deploy and manage AI infrastructure on Azure, AWS, or GCP.

Required Skills

• 2+ years of experience in AI/ML products or systems.
• Proficiency in Python, C, C++, C#, or Java.
• Hands-on experience with Generative AI models, specifically LLMs and RAG architectures.
• Experience with open-source models from Hugging Face.
• Knowledge of LangChain and Vector Databases.
• Cloud platform experience with Microsoft Azure, AWS, or GCP.
• Familiarity with transformer and diffuser-based model architectures.

Key Skills

Education

Bachelors Degree, Masters Degree, PHD