Senior ML Engineer - Real-Time Voice AI Agents (Hybrid)

Appfolio

San Francisco (CA)

On-site

USD 167,000 - 230,000

Full time

9 days ago
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Job summary

AppFolio is hiring a Senior Machine Learning Engineer to design and ship voice and conversational AI agents for Realm-X. You will shape production voice and chat agent pipelines, collaborating with Product, Voice, and ML Platform teams to deliver scalable, low-latency experiences across customers.

Join a team that balances advanced LLM research with practical deployment, real-time streaming, and cost-aware optimization.

Qualifications

  • Agent frameworks with LangChain/LangGraph/LangSmith experience.
  • Hands-on with Voice-to-Voice models and STT/TTS pipelines.
  • Strong grasp of LLM reasoning, tool use, and latency trade-offs.
  • Production experience with Twilio and AWS.
  • Expert Python skills, async programming, and WebSockets for real-time streaming.
  • Deep learning fundamentals; Docker/on AWS deployment.
  • Leadership experience guiding small teams.

Responsibilities

  • Ship voice and text agent pipelines for real-time interactions.
  • Balance reasoning depth vs. latency across models and routing strategies.
  • Lead a small pod of ML and platform engineers; improve observability and incident response.
  • Define KPIs, eval harnesses, and acceptance criteria for agent quality.
  • Drive fine-tuning and inference optimization for voice latency and cost.

Skills

LangChain
LangGraph
LangSmith
Python
WebSockets
LLM reasoning
Voice pipelines

Education

Bachelor’s, Master’s, or Ph.D. in Computer Science or related field

Tools

Twilio
AWS
Docker

Job description

AppFolio is hiring a Senior Machine Learning Engineer to design and ship voice and conversational AI agents for Realm-X. You will shape production voice and chat agent pipelines, collaborating with Product, Voice, and ML Platform teams to deliver scalable, low-latency experiences across customers.

Join a team that balances advanced LLM research with practical deployment, real-time streaming, and cost-aware optimization.

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