Senior Conversational AI Engineer for Voice & Text Agents

Appfolio

Goleta (CA)

Vor Ort

USD 167.000 - 230.000

Vollzeit

Vor 5 Tagen
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

AppFolio is seeking a Senior Machine Learning Engineer to design and ship the next generation of voice and conversational AI agents for Realm‑X, our AI-native platform. You will define production voice and chat agent pipelines, collaborating with Product, Voice, and ML Platform teams to translate cutting-edge agent research into reliable, low-latency experiences for our broad customer base.

You will lead a pod of ML and platform engineers, balance reasoning with latency, and drive improvements

Qualifikationen

  • Agent frameworks: Deep, shipped experience with LangChain, LangGraph, LangSmith, and LangChain Deep Agents (or equivalent agent frameworks).
  • Voice stack: Hands-on with Voice-to-Voice models and traditional TTS / STT pipelines; understands the trade-offs between end-to-end voice models and modular STT → LLM → TTS architectures.
  • LLM fluency: Strong grasp of LLM reasoning behavior, tool use, structured output, and reasoning‑vs‑latency trade-offs across providers.
  • Telephony & cloud: Production experience with Twilio (or comparable telephony) and AWS.
  • Engineering: Expert Python, async programming, and WebSockets for real-time, bidirectional streaming.
  • ML fundamentals: Solid foundation in deep learning, model evaluation, and inference optimization; able to deploy with Docker on AWS.
  • Leadership: Demonstrated ability to lead a small team, mentor engineers, and partner credibly with Product and Design.

Aufgaben

  • Ship Voice & Text Agents: Architect and ship voice and text agent pipelines that handle real-time, multi-turn customer interactions.
  • Reasoning vs. Latency: Make principled trade-offs between reasoning depth and latency across frontier LLMs, smaller models, and routing strategies.
  • Lead a Pod: Lead a small pod of ML and platform engineers; raise the bar on agent evaluation, observability, and incident response.
  • Define Quality: Partner with Product and Voice channel teams to define KPIs, eval harnesses, and acceptance criteria for agent quality.
  • Optimize for Voice: Drive selective Small Language Model (SLM) fine-tuning and inference optimization for voice latency and cost.

Kenntnisse

Voice/text agent pipelines
LLM reasoning
Leadership
Pipeline thinking
Observability
Real-time streaming

Ausbildung

Bachelor’s/Master’s/PhD in CS or related

Tools

LangChain
LangGraph
LangSmith
LangChain Deep Agents
Twilio
AWS
Docker
Python

Jobbeschreibung

AppFolio is seeking a Senior Machine Learning Engineer to design and ship the next generation of voice and conversational AI agents for Realm‑X, our AI-native platform. You will define production voice and chat agent pipelines, collaborating with Product, Voice, and ML Platform teams to translate cutting-edge agent research into reliable, low-latency experiences for our broad customer base.

You will lead a pod of ML and platform engineers, balance reasoning with latency, and drive improvements

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