We are looking for a Staff Enterprise AI Engineer to serve as the
Requirements
- Experience: 10+ years of software engineering experience, with 3+ years specifically focused on MLOps, LLM Orchestration, or Large Scale Distributed Systems.
- Deep fluency in Python (production grade) and Go (preferred for platform services).
- Proven experience deploying RAG (Retrieval Augmented Generation) and Agentic Workflows in production.
- Strong background in Kubernetes (EKS), Docker, and Infrastructure-as-Code (Terraform).
- Solid understanding of OAuth 2.0 (OBO flow), RBAC, and zero-trust networking principles.
- Ability to explain complex technical trade-offs (e.g.,
- Bonus: Experience implementing Model Context Protocol (MCP) or similar standardized tool interfaces.
- Background in FinOps (managing GPU/Cloud spend).
- Experience navigating highly regulated environments (HIPAA, SOX, etc.).
Benefits
- Medical, dental and vision insurance
- Generous paid time off policy
- Short-term and long-term disability
- Access to mental health services
- 401k, tuition reimbursement and student loan paydown plans
- Employee Stock Purchase Plan
- Fertility and adoption support and up to 18 weeks of paid parental leave
- Child care and family care discounts
- Free access to Peloton Digital App and apparel and product discounts
- Commuter benefits and Citi Bike Discount
- Pet insurance