Job Description
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...