Role Overview

We are seeking an AI Engineer with expertise in Retrieval-Augmented Generation (RAG), Computer Vision, and Deep Learning to build intelligent, context-aware AI systems. The role involves developing scalable AI pipelines that combine LLMs, retrieval systems, and vision models to solve real-world problems.

Key Responsibilities

• Design and develop RAG-based AI systems integrating LLMs with structured/unstructured data sources
• Build and optimize end-to-end AI pipelines for Computer Vision (detection, segmentation, classification)
• Develop context-aware AI applications combining NLP + vision-based insights
• Implement vector search, embeddings, and retrieval pipelines
• Deploy scalable models using AWS serverless architecture (Lambda, API Gateway, ECR, SageMaker)
• Optimize model inference performance and latency in production
• Automate data pipelines including preprocessing, pseudo-labe...