Machine Learning Engineer
Core
Build and deploy ML/LLM systems for internal operations including forecasting, risk flagging, and document extraction.
Role type
Senior Machine Learning Engineer (LLM & Agentic Systems)
Builds
Production ML models, agentic systems with guardrails, and forecasting/scheduling tools
Domain
AI Infrastructure & Internal Operations
Deliverable
production ML models
Required skills
End-to-end model ownership, evaluation harness design, LLM API integration, fine-tuning, retrieval systems, production code, AI coding tools
Preferred skills
Forecasting/scheduling, document extraction at scale, agentic frameworks, MCP, workflow engines
Technologies
LLM APIs, fine-tuning frameworks, retrieval systems, workflow engines
Responsibilities
Build ML/LLM systems for internal operations, own models from framing to production deployment, ship agentic systems with guardrails, partner with data engineering and product teams
Seniority
Senior, hands-on IC