Staff Enterprise AI Engineer
Tasks
- Architect intelligence and integration layers
- Build data clean rooms and PII masking pipelines
- Define engineering standards and guardrails
- Deploy EvalOps pipelines
- Design and build agentic orchestration platform
- Enforce security by design
- Ensure zero trust networking compliance
- Implement identity propagation with OAuth scopes
- Implement secure standardized protocols for agent tools
- Integrate AI agents with internal APIs
- Manage AI workloads on Kubernetes EKS
- Mentor engineers and guide adoption
- Optimize inference costs with semantic caching
- Perform code reviews for latency and performance
- Route queries to cost efficient models
- Solve state persistence problem with memory stores
Perks/Benefits
- 401k
- Child Care Discounts
- Commuter benefits
- Employee stock purchase plan
- Fertility and adoption support
- Long-term disability
- Mental Health Access
- Mental health services
- Paid parental leave
- Paid time off
- Short-term disability
- Student loan paydown plans
- Tuition reimbursement
Skills/Tech-stack
Agent Orchestration | Clean rooms | Data Clean Rooms | Docker | EvalOps | Go | Kubernetes | Kubernetes EKS | LLM orchestration | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Model Context Protocol | OAuth 2.0 | OAuth OBO | PII masking | Pinecone | Python | RBAC | Retrieval-Augmented Generation | Semantic Caching | Semantic Kernel | Terraform | Vector Databases | Weaviate | Zero Trust
Education
N/A
Regions
Countries
States
Cities
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