Senior Machine Learning Engineer, Voice & Conversational AI
Overview
You will lead the development of Realm-X's voice and text AI agent pipelines, serving real-time, multi-turn interactions for AppFolio's property management platform. You will architect systems that balance LLM reasoning depth with latency, driving production agents that handle millions of customer conversations. As a technical lead, you'll guide a small pod of engineers, define quality metrics, and collaborate with Product and Voice teams. This role uniquely combines deep LLM agent frameworks, Twilio telephony, and AWS streaming, placing you at the core of AI-native property management transformation. We're looking for a senior engineer with a track record of shipping production agents, strong Python expertise, and a pragmatic mindset for real-world performance.
What You'll Do8
- 1Architect and ship LangGraph-based voice and text agent pipelines that manage real-time, multi-turn customer interactions.
- 2Optimize reasoning-vs-latency trade-offs across frontier LLMs, smaller models, and routing strategies to deliver sub-second response times.
- 3Lead a small pod of ML and platform engineers, setting the bar for agent evaluation, observability, and incident response.
- 4Define agent quality KPIs and acceptance criteria in partnership with Product and Voice teams.
- 5Drive selective SLM fine-tuning and inference optimization for voice latency and cost.
- 6Build and deploy Docker containers on AWS for scalable, reliable agent infrastructure.
- 7Integrate Twilio telephony and WebSockets for bidirectional, low-latency voice and text streaming.
- 8Establish robust evaluation harnesses using LangSmith to continuously measure and improve agent performance.
Requirements8
- 15+ years building production AI agents for voice or text channels.
- 2Deep LangChain, LangGraph, LangSmith, and agent framework experience.
- 3Hands-on with voice-to-voice models and TTS/STT pipelines, understanding modular vs. end-to-end trade-offs.
- 4Strong grasp of LLM reasoning, tool use, structured output, and latency trade-offs.
- 5Production experience with Twilio and AWS for telephony and cloud services.
- 6Expert Python with async programming and WebSockets for real-time streaming.
- 7Solid ML fundamentals in deep learning, model evaluation, and inference optimization.
- 8Demonstrated leadership of small teams and mentoring engineers.
Salary Insight
$167 - $209k per year
Location
Required Skills
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