ML Engineer — Applied LLMs

Responsibilities

• Build RAG pipelines and evaluation harnesses
• Fine-tune and serve models with production constraints
• Collaborate with product on AI feature roadmap
• Monitor quality, latency, and cost in production

Requirements

• 3–7 years ML engineering experience
• Strong Python and deep learning foundations
• Hands-on LLM/RAG production experience
• Comfort with cloud MLOps tooling

Benefits

• ESOPs
• GPU resources
• Research time

Key skills