Senior Software Engineer, AI Model Lifecycle

Responsibilities

• Manage fine-tuning systems for large foundation models (SFT, PEFT, LoRA, adapters), including multi-node orchestration, checkpointing, failure recovery, and cost-efficient scaling
• Implement and maintain end-to-end training pipelines for Large Language Models
• Integrate RFT and Reinforcement learning into fine-tuning and training sections
• Develop distillation and reinforcement learning pipelines (e.g., preference optimization, policy optimization, reward modeling)
• Manage datasets, models, and experiments including versioning, lineage, evaluation, and reproducible fine-tuning at scale

Requirements

• Advanced degree in Computer Science, Engineering, or a related field
• 4-5+ years of industry experience leading impactful projects in the AI space
• Experience in Generative AI (Large Language Models, Multimodal)
• Hands-on experience training, fine-tuning, and aligning LLMs using Reinforcement Learning and Reinforcement Fine-Tuning (RFT) techniques
• Proactive and collaborative approach with the ability to work autonomously

Preferred Qualifications

• Proficiency in Golang or Python for large-scale, production-level services and PyTorch
• Contributions to open-source AI projects such as vLLM or similar frameworks
• Performance optimizations on GPU systems and inference frameworks

About the Company

Crusoe is a vertically integrated AI infrastructure company that owns and operates each layer of the stack to power the world's most ambitious AI workloads through an energy-first approach.