Senior Machine Learning Engineer AppFolio Chicago
Overview
Design and ship next generation voice and conversational AI agents within Realm-X. Define production voice and chat agent pipelines. Work at intersection of LLM agent frameworks real-time voice technology and streaming infrastructure. Collaborate with Product Voice channel and ML Platform teams to translate research into reliable low-latency multi-channel experiences.
What You'll Do10
- 1Architect and ship voice and text agent pipelines handling real-time multi-turn customer interactions
- 2Make principled trade-offs between reasoning depth and latency across frontier LLMs smaller models and routing strategies
- 3Lead a pod of ML and platform engineers raising standards for agent evaluation observability and incident response
- 4Define quality metrics partner with Product and Voice channel teams to establish KPIs eval harnesses and acceptance criteria
- 5Optimize for voice through selective small language model fine-tuning and inference optimization for latency and cost
- 6Ship production AI agents serving real users in voice and/or text channels
- 7Think in pipelines and systems rather than focusing solely on models
- 8Move fast deliver impact and maintain sound engineering judgment
- 9Be humble collaborative and low-ego elevating those around you
- 10Value work-life balance as foundation for sustained high performance
Requirements13
- 15+ years building ETL pipelines with Spark and Airflow
- 25+ years shipping production AI agents serving real users in voice and/or text channels
- 3Deep shipped experience with LangChain LangGraph LangSmith or equivalent agent frameworks
- 4Hands-on knowledge of Voice-to-Voice models and traditional TTS/STT pipelines understanding trade-offs between end-to-end voice models and modular architectures
- 5Strong grasp of LLM reasoning behavior tool use structured output and reasoning-vs-latency trade-offs across providers
- 6Production experience with Twilio or comparable telephony solutions and AWS
- 7Expert Python async programming and WebSockets for real-time bidirectional streaming
- 8Solid foundation in deep learning model evaluation and inference optimization deploying with Docker on AWS
- 9Demonstrated ability to lead a small team mentor engineers and partner credibly with Product and Design
- 10Fine-tuning Small Language Models for domain-specific voice applications
- 11Familiarity with RAG over structured business data and tool-using agents over API surfaces
- 12Prior experience in regulated or customer-facing industries with strict reliability requirements
- 13Publicly verifiable work on GitHub in open-source agent frameworks or community competitions
Salary Insight
$167 - $209k per year
Location
Required Skills
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