Tech Stack
Responsibilities
- Enhance AI Pipeline Accuracy by improving data ingestion and processing to deliver more accurate responses and sophisticated agentic behaviors.
- Deploy and optimize AI models on high-performance GPU infrastructure using the Trident architecture for efficient training, inference, and scaling.
- Build and maintain end-to-end MLOps pipelines including RAG systems, model distillation, fine-tuning workflows, training orchestration, and production inference deployment.
- Design and implement robust data models and processing workflows that power AI persona capabilities.
- Create production-grade CI/CD pipelines, containerization (Docker), comprehensive logging systems, and monitoring for AI model performance.
Soft Skills
System DesignArchitecture Skills
Culture
Maker Schedule
Requirements
Regions: Us
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About Engineeringsquare
Engineeringsquare is seeking a hands-on AI Engineer to build and deploy production-ready AI systems, focusing on optimizing AI ingestion pipelines, deploying models on GPU infrastructure, and maintaining robust MLOps workflows.
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