AI Engineer — Real-time Voice & Agent Systems
Core
Design and optimize production AI systems for real-time voice conversations, multi-step agent workflows, and LLM orchestration to power customer-facing products.
Role type
Senior IC AI Engineer (Real-time Voice & Agent Systems)
Builds
Low-latency streaming speech pipelines, agentic AI systems with tool calling, LLM orchestration layers, memory/context retrieval systems, and automated evaluation frameworks.
Domain
AI/ML, Real-time Voice Systems, Agentic Workflows
Deliverable
production ML models
Required skills
Python, LLM-powered application development, OpenAI/Gemini/Anthropic APIs, Deepgram/ElevenLabs voice APIs, AI agents and tool calling, Prompt engineering, Context engineering, RAG pipelines, Vector search and embeddings, Async backend systems, Real-time streaming systems, Docker/Kubernetes
Preferred skills
Experience with real-time voice AI or low-latency audio systems, Experience building AI evaluation frameworks or LLM observability tools, Experience with speech-to-text and text-to-speech pipelines, Experience with multi-provider LLM routing and fallback systems, Experience with React/TypeScript for product dashboards
Technologies
Python, OpenAI, Gemini, Anthropic, Deepgram, ElevenLabs, Docker, Kubernetes, Vector Search, RAG
Responsibilities
Build and optimize low-latency streaming speech pipelines; Design dynamic instructions and guardrails for multi-step AI agents; Build memory systems using call history and retrieval-based context; Build evaluation systems for scoring agent performance; Build automated summarization and sentiment analysis pipelines; Maintain Python backend services with async APIs and cloud-native deployments.
Seniority
Senior, hands-on IC