Principal Staff Engineer, AI Platform Research, Data Science

📋 Description

• Architect, build, and optimize scalable data platforms and pipelines for LLMs, neural nets, and RAG
• Design and deploy agentic workflows and security-focused AI systems
• Hands-on development with performance, reliability, testing, and rapid delivery
• Design fault-tolerant distributed systems with sharding, partitioning, and large-scale data
• Lead data modeling, semantic catalogs, and platform architecture for AI/ML workloads
• Establish MLOps/DataOps standards for monitoring, automation, and zero-touch recovery

🎯 Requirements

• Bachelor's/Master's/PhD in CS/Data Engineering or related field, or equivalent experience
• 5+ years in Data/Platform Engineering; 3+ years architecting AI/ML or DS platforms at scale
• Staff-level engineering with leadership, architecture ownership, and mentorship
• Hands-on LLM engineering: fine-tuning, prompt engineering, RAG, agentic workflows
• Experience delivering large-scale distributed systems: sharding, fault tolerance, performance
• Proficiency in Python, Go, Rust, or JVM languages

🎁 Benefits

• Base salary: $195,000–$290,000 per year for U.S. candidates
• Bonuses and equity eligibility
• Comprehensive health, 401(k), PTO, parental leave
• Wellness programs and professional development
• Remote-first environment for U.S.-based employees
• Opportunity to work on large-scale AI, data, and distributed systems