Lead Principal AI Software Engineer
Summary
Lead a team building AI agent execution and inference services, defining platform architecture, and integrating LLMs with enterprise systems while ensuring reliability and security.
- Build agent execution and inference services
- Conduct code reviews design reviews and incident follow up
- Define AI platform architecture for agentic systems
- Define APIs data models and state management
- Design secure multi tenant AI operations
- Establish AgentOps and LLMOps monitoring tracing and guardrails
- Implement model serving and evaluation pipelines
- Integrate AI agents with enterprise APIs and cloud services
- Integrate MCP and vector retrieval
- Lead multi team technical strategy and execution plans
- Mentor engineers and raise architectural standards
- Optimize inference for latency throughput GPU utilization cost
- Orchestrate LLM workflows and tool calling
- Own reliability performance security and cost outcomes
- Set SLIs and SLOs and production readiness criteria
Perks/Benefits:
- 401k matching
- Disability insurance
- Employee stock purchase plan
- Flexible spending accounts
- Life insurance
- Medical, dental, and vision insurance
- Paid Holidays
- Paid parental leave
- Paid sick leave
- Paid time off