Staff AI Engineer (LLM Systems)

The Role

You’ll own the LLM-powered parts of the platform end-to-end, including:

• Chat and voice intake systems
• Agent orchestration
• Risk and similarity pipelines
• RAG and structured outputs
• Voice integrations
• Evaluation infrastructure
• AI observability, latency, and cost optimization

This is a production engineering role — not just prompt engineering. Reliability, safety, latency, and system design matter.

What You’ll Build

• Multi-step intake workflows across chat and voice
• Low-latency voice agents with function calling and barge-in support
• Background risk scoring and similarity retrieval using pgvector
• Evaluation systems with regression testing and CI gates
• Prompt caching, embedding caching, and model routing for cost and performance optimization
• Structured agent outputs with human takeover flows when required <...