AI Engineer

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

Culture

Requirements