Tech Stack

Description

You will design and build generative AI use cases based on client needs, develop and deploy generative AI models using platforms like Amazon Kendra and AWS Bedrock, and collaborate with a team of experts to deliver innovative solutions that transform client ecosystems. Your work will involve implementing large language models, integrating cloud-based AI services, and driving AI innovation across enterprise domains.

Requirements

• Experience working with modern generative AI capabilities including large language models, transformer models, and retrieval-augmented generation
• Expertise in AI platforms (e.g., Amazon Kendra, Google Vertex AI, AWS Bedrock, and Azure AI, etc.)
• Experience with Cloud services (e.g., Google- Document AI, Gemini, Gemma, Generative AI Language Models)
• Experience building RAG systems with vector databases (e.g., Pinecone, Weaviate, ChromaDB, FAISS)
• Experience using modern software languages (e.g., Python, SQL, Go) to develop generative AI solutions
• Must be a US Citizen (No Dual Citizenship)

Responsibilities

• Design and build GenAI use cases based on client's needs and specific data
• Develop and deploy generative AI models using platforms such as Amazon Kendra, Google Vertex AI, and AWS Bedrock
• Implement large language models (LLMs) and transformer models to create advanced AI applications
• Integrate solutions with cloud-based AI services such as Google Cloud Document AI, Google Cloud Gemini, Google Cloud Gemma, and Google Cloud Generative AI Language Models