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The AI Developer will design, train, optimize, and deploy LLM models, develop backend services and maintain models in offline environments, focusing on ML engineering and optimizing workflows.

Design, train, optimize, and deploy LLMs for offline and on-prem environments. Build end-to-end LLM pipelines: data preprocessing, SFT, LoRA/Q-LoRA, quantization, RAG, vector stores, MCP integrations, and inference systems. Implement document parsing, GPU optimization, CI/CD for local ML workflows, and maintain model registries and versioning in restricted networks.

The Personal Assistant to the CEO will manage the CEO's agenda, support personal projects, coordinate lifestyle tasks, and provide administrative support while fostering effective communication and organization.

We are looking for an AI Developer to design, train, optimize, and deploy LLM models in offline environments. Responsibilities include developing RAG pipelines, build backend services, and utilize DevOps for ML workflows.