Description

You will design, develop, and deploy Generative AI solutions for a large retail client using AWS Bedrock and modern LLM architectures.

Responsibilities

• Build GenAI applications and LLM solutions, including chatbots, summarization tools, and recommendation engines.
• Implement Retrieval-Augmented Generation (RAG) architectures and advanced prompt engineering strategies.
• Integrate AI models with enterprise retail systems such as POS, CRM, e-commerce platforms, and supply chain tools.
• Fine-tune foundation models to address specific business use cases and improve performance.
• Ensure scalable deployment of AI services using AWS infrastructure.

Required Skills

• 5+ years of experience with Python programming.
• Strong hands-on experience developing Generative AI solutions using AWS Bedrock.
• Proven expertise in building RAG architectures and working with vector databases (Pinecone, FAISS, OpenSearch).
• Deep knowledge of AWS services, including Lambda, S3, API Gateway, and IAM.
• Experience with LangChain or similar LLM orchestration frameworks.
• Understanding of MLOps principles and CI/CD pipelines for AI models.

Preferred Skills

• Direct experience in the retail domain.
• Exposure to end-to-end MLOps lifecycle management.

Key Skills

Education

Any Graduate