Principal Engineer, Crusoe Energy Systems

• Advanced degree in Computer Science, Engineering, or a related field
• 10-15+ years of industry experience driving impactful projects in the AI Space
• Proven track record of delivering early-stage projects under tight deadlines
• Expertise in using cloud-based services, such as, elastic compute, object storage, virtual private networks, managed database, etc
• Experience in Generative AI (Large Language Models, Multimodal)
• Deep experience with AI infrastructure, including training, inference
• Proactive and collaborative approach with the ability to work autonomously
• Strong communication and interpersonal skills
• Passion for building cutting-edge AI products and solving challenging technical problems

Desirable

• The Principal Software Engineer for the Model LifeCycle team will play a crucial role in building a comprehensive managed platform for the entire application development lifecycle, with a specific focus on leveraging Machine Learning models, including Large Language Models (LLMs)
• 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
• Distillation and reinforcement learning pipelines (e.g., preference optimization, policy optimization, reward modeling)
• Agent execution infrastructure
• Dataset, model, and experiment management: versioning, lineage, evaluation, and reproducible fine-tuning at scale
• Work closely with product, business, and platform teams to shape the core abstractions and APIs of the system
• Influence long-term architectural decisions around training runtimes, scheduling, storage, and model lifecycle management
• Contribute to and engage with the open-source LLM ecosystem
• This role offers significant 0 → 1 ownership — you'll be designing and building core systems from first principles