Senior Software Engineer, Managed AI
About The Position
Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure. About this role: The Senior Software Engineer for the Model LifeCycle team will contribute to building a managed platform for the entire application development lifecycle, with a specific focus on leveraging Machine Learning models, including Large Language Models (LLMs).
Requirements
- 4-5+ years of industry experience with demonstrated history of consistent success leading a varied portfolio of initiatives across your function
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Experience delivering production-ready features.
- Familiarity with essential cloud-based services (e.g., compute, storage, networking).
- Familiarity with Generative AI (Large Language Models, Multimodal).
- Experience with AI infrastructure components (training, inference).
- Proactive and collaborative approach.
- Strong communication and interpersonal skills.
- Passion for building AI products and solving technical problems.
Nice To Haves
- Proficiency in Golang or Python for production services.
- Familiarity with PyTorch.
- Some experience with training and fine-tuning LLMs.
Responsibilities
- Implement and maintain systems for fine-tuning 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.
- Implement components for distillation and reinforcement learning pipelines (e.g., preference optimization, policy optimization, reward modeling).
- Develop and maintain core agent execution infrastructure.
- Implement features for dataset, model, and experiment management, focusing on versioning, lineage, evaluation, and reproducible fine-tuning.
- Work closely with Senior Engineers and Principal Engineers, as well as product and platform teams, to implement system abstractions and APIs.
- Contribute to technical discussions on training runtimes, scheduling, storage, and model lifecycle management.
- Engage with the open-source LLM ecosystem.
- This role involves significant implementation ownership for core system components.
Benefits
- Industry competitive pay
- Restricted Stock Units in a fast growing, well-funded technology company
- Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
- Employer contributions to HSA accounts
- Paid Parental Leave
- Paid life insurance, short-term and long-term disability
- Teladoc
- 401(k) with a 100% match up to 4% of salary
- Generous paid time off and holiday schedule
- Cell phone reimbursement
- Tuition reimbursement
- Subscription to the Calm app
- MetLife Legal
- Company paid commuter benefit; $300/month
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
