STAFF AI ENGINEER
New York, United States (On-site / Hybrid)
The Role
We're hiring a Staff AI Engineer to build and scale production-grade GenAI systems powering enterprise AI applications.
This is a high-ownership IC role focused on LLM systems, agent frameworks, and production AI infrastructure. You'll turn foundation models into reliable, scalable systems that power copilots, automation, and internal AI workflows.
You'll operate across architecture and implementation with fast iteration from idea to production.
What You'll Build
Production LLM-powered services and applications
Enterprise copilots and chat-based systems
Text-to-code and natural language SQL interfaces
Agent frameworks and tool-using AI systems
Workflow automation powered by foundation models
API layers for LLM integration across systems
Scalable, secure GenAI deployments
CI/CD pipelines for AI services
What You Bring
8-12+ years software or ML engineering experience
Strong experience building production LLM or ML systems
Deep understanding of foundation models and LLM APIs
Strong backend and distributed systems experience
Experience with AWS production environments
Kubernetes / containerized deployment experience
Strong systems thinking (latency, scaling, reliability trade-offs)
Strong Preference For
ML engineering background over traditional full-stack
Experience building GenAI or agentic systems in production
Strong analytical background (PhD-level NLP/CV a plus)
Why This Role
Build foundational GenAI systems with real enterprise impact
High ownership across architecture and execution
Fast iteration cycles from idea to production
High visibility and technical influence
Opportunity to shape core AI infrastructure