Role Focus:

We’re seeking an AI Engineer to design, deploy, and manage Large Language Models (LLMs) at scale. This role centers on building and optimizing LLM training, hosting, and serving pipelines — ensuring models are performant, reliable, and production-ready.

What You’ll Do:

Build, fine-tune, and optimize LLMs for real-world applications.
Design and manage model deployment pipelines with API-based serving, GPU orchestration, and scaling strategies.
Monitor and enhance model performance, latency, and reliability in production environments.
Work with vector databases, embeddings, and tokenization techniques for inference optimization.

What You Bring:

Strong proficiency in Python and modern software engineering best practices.
Experience in cloud-native development, containerization, and orchestration (Docker, Kubernetes).
Hands-on experience in model training, evaluation, and optimization workflows.
Comfortable in fast-paced, experimental environments — rapid prototyping and iteration.
Excellent communication and documentation skills; able to collaborate across data science, engineering, and product teams.

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