Senior ML Engineer, Voice & AI Agent Pipelines

AppFolio Inc

Santa Barbara (CA)

On-site

USD 167,000 - 230,000

Full time

9 days ago

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Job summary

AppFolio Inc. is hiring a Senior Machine Learning Engineer to design and ship next-gen voice and conversational AI agents within Realm-X.

You will help define production voice and chat agent pipelines, collaborating with Product, Voice channel, and ML Platform teams to deliver low-latency, multi-channel experiences for our broad customer base. The role emphasizes deep experience with agent frameworks, voice stacks, and end-to-end AI pipelines, while leading a small pod and shaping KPI-driven

Qualifications

  • 5+ years of experience building and scaling web-based apps, SaaS preferred.
  • Shipped production AI agents for voice/text channels.
  • Strong systems thinking beyond models.
  • Fast learner with impact-focused delivery and sound engineering judgment.
  • Collaborative, low-ego mindset with teamwork to elevate others.

Responsibilities

  • Architect and ship voice and text agent pipelines for real-time interactions.
  • Balance reasoning depth with latency across frontier LLMs and models.
  • Lead a small pod of ML and platform engineers; improve observability and incident response.
  • Define KPIs and evaluation harnesses with Product and Voice teams.
  • Drive targeted fine-tuning and inference optimization for voice latency and cost.

Skills

LangChain
LangGraph
LangSmith
LangChain Deep Agents
Voice technology
LLM reasoning
Twilio & AWS
Python
WebSockets
Leadership

Education

Bachelor’s, Master’s, or Ph.D. in CS or related

Tools

Twilio
AWS
Docker
WebSockets
Python

Job description

AppFolio Inc. is hiring a Senior Machine Learning Engineer to design and ship next-gen voice and conversational AI agents within Realm-X.

You will help define production voice and chat agent pipelines, collaborating with Product, Voice channel, and ML Platform teams to deliver low-latency, multi-channel experiences for our broad customer base. The role emphasizes deep experience with agent frameworks, voice stacks, and end-to-end AI pipelines, while leading a small pod and shaping KPI-driven

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